acca taxation fa2018 bpp learning media

Gain a clear understanding of UK taxation rules and policies for 2024 Taxation, 30th edition by Alan Melville, updated with the Finance Acts 2024, is the definitive, market-leading text on UK taxation. Known for its comprehensive coverage of the changes introduced by the annual Budget, the text is clean and well-structured, with a wealth of updated examples and exercises. This popular guide serves as both a core textbook for those studying taxation for the first time, and as a reference text that clearly explains the UK tax system and taxation regulations. This new edition brings the book completely up to date, covering major taxation changes including: Further delays to MTD for income tax Income tax higher rate limit reduced Dividend allowance reduced Basis period rules for 2024-25 Spreading of transition profits AIA £1m limit made permanent Pensions tax relief reforms CGT annual exemption reduced Corporation tax full expensing R&D tax relief reforms Investment zones VAT aspects of Windsor Framework This text will be of value to both undergraduate and graduate students of accounting and finance, and will be particularly useful for students preparing for the following examinations: ICAEW Certificate Level, Principles of Taxation; ACCA Applied Skills Level, Taxation; ACCA Technician Scheme, Foundations in Taxation; CIPFA PQ, Taxation; CIPFA PAQ, Tax and Law; AAT Professional Diploma, Personal Tax and Business Tax; ATT Certificates, Personal Taxation and Business Taxation; AIA Professional Level 1, Taxation; IFA Personal Taxation, Business Taxation. Additionally, a free-to-access Companion Website features opportunities for extra practice, chapter appendices and a range of useful links to explore UK taxation rules and the tax system further. Personalise learning with MyLab®Accounting. MyLab® is the teaching and learning platform that combines trusted author content with digital assessments, help tools to use at point-of-need, and a flexible platform. MyLab Accounting for this book includes 350 questions for your assignments. Note: Pearson MyLab® Accounting is not included in the main text. Students, if Pearson MyLab Accounting is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab Accounting should only be purchased when required by an instructor. Also available with MyLab Accounting.

Objev podobné jako Taxation: Finance Act 2024 - Alan Melville

Get clarity on UK taxation rules and policies for the year 2022. Taxation, 28th Edition,by Melville, updated with the Finance Act 2022, is the definitive, market-leading text on UK taxation, known for its comprehensive coverage of the changes introduced by the annual Budget 2021 and Spring Statement 2022. This widely popular guide features clear, well-structured content and a wealth of new and revised practical examples and exercises. It serves both as a core textbook if you are studying taxation for the first time, and a reference text that clearly explains the UK tax system and taxation regulations. The new edition brings the book completely up to date with taxation changes, including: Increases in rates of NICs and dividend tax Health and Social Care Levy Basis period reform AIA of £1m extended for 15 months CGT reporting deadline for residential property Employment allowance raised Reintroduction of CT marginal relief Abolition of cross-border group relief VAT zero rate on energy-saving materials This text will be of value to both undergraduate and graduate students of accounting and finance, and will be particularly useful for students preparing for the following examinations: ICAEW Certificate Level, Principles of Taxation; ACCA Applied Skills Level, Taxation; ACCA Technician Scheme, Foundations in Taxation; CIPFA PQ, Taxation; CIPFA PAQ, Tax and Law; AAT Professional Diploma, Personal Tax and Business Tax; ATT Certificates, Personal Taxation and Business Taxation; AIA Professional Level 1, Taxation; IFA Personal Taxation, Business Taxation. This edition also includes a Companion Website featuring opportunities for extra practice, chapter appendices, and a range of useful links that further explore UK taxation rules and the tax system. Pearson, the world''s learning company.

Objev podobné jako Taxation Finance Act 2022 - Alan Melville

Now in its 25th annual edition, Melville's Taxation continues to be the definitive, market-leading text on UK taxation. Featuring clean, uncluttered prose and a wealth of immensely practical examples, this text is a comprehensive guide for students taking a first-level course in the subject.

Objev podobné jako Melville's Taxation: Finance Act 2019 - Alan Melville

Kapego stropní vestavné svítidlo GU5.3 / MR16, měď – elegantní a funkční akcent pro váš interiérStropní vestavné svítidlo Light Impressions Kapego v elegantním měděném provedení je skvělou volbou pro moderní i klasické interiéry. Minimalistický design v kombinaci s lesklým povrchem a možností směrování světla (náklon až 30°) nabízí nejen estetickou hodnotu, ale i funkční variabilitu. Díky kompatibilitě se žárovkami GU5.3 / MR16 (12V AC/DC, max. 50W) je tento bodový světelný zdroj ideální pro osvětlení obývacích pokojů, kuchyní, chodeb či kanceláří.Hlavní výhody svítidla Kapego Elegantní měděná povrchová úprava – Dodává prostoru punc luxusu a výjimečnosti. Směrování světla – Díky možnosti náklonu až 30° snadno nasměrujete světlo tam, kde ho potřebujete. Dlouhá životnost materiálu – Kvalitní kovové tělo zajišťuje odolnost a dlouhou životnost. Stmívatelnost – Lze použít stmívatelné žárovky pro dosažení požadované atmosféry. Vhodné pro většinu interiérů – Určeno pro zapuštěnou montáž do stropů v interiéru.Technické parametry Typ svítidla: Stropní vestavné (downlight) Materiál: Kov (měď, lesklý povrch) Rozměry: Průměr 89 mm, instalační otvor 68 mm, hloubka 65 mm Příkon: 1x max. 50 W (GU5.3 / MR16, 12V AC/DC) Montáž: Zapuštěná do stropu, pouze pro vnitřní použití (IP20) Stupeň krytí: IP20 – ochrana proti pevným částicím Provozní teplota: -5 až 40 °C Možnost stmívání: Ano (v závislosti na použitém světelném zdroji) Bez světelného zdroje v balení – výběr žárovky dle vlastních preferencí Hmotnost: 79,5 g Ochranná třída: III – bezpečné nízké napětíDoporučení architektaPokud hledáte decentní, ale stylový prvek pro celkové nebo akcentní osvětlení, je toto svítidlo skvělou volbou. Měděná povrchová úprava krásně vynikne v kombinaci s přírodními materiály, jako je dřevo nebo kámen, a zároveň vnáší do prostoru teplý optický akcent. Pro maximální úsporu doporučuji použít LED žárovky GU5.3 kompatibilní se stmívačem. Instalaci svěřte odborníkovi, abyste zajistili správnou funkčnost a bezpečnost.Trust badges & garance Certifikace: CE Záruka: 2 rokyFAQ – Často kladené otázky Lze použít LED žárovky? Ano, svítidlo je kompatibilní s moderními LED žárovkami GU5.3 / MR16 (12V), doporučujeme však zkontrolovat kompatibilitu s případným stmívačem. Je možné závěs zkrátit? Toto svítidlo není závěsné, jedná se o vestavný model určený k zapuštění do stropu.Vyberte si stropní vestavné svítidlo Kapego pro moderní, flexibilní a stylové řešení osvětlení vašeho interiéru!

Objev podobné jako Light Impressions Kapego stropní vestavné svítidlo 12V AC/DC GU5.3 / MR16 1x max. 50,00 W měď 686867

Deko-Light stropní vestavné svítidlo GU10, měď – moderní funkčnost v elegantním designuStropní vestavné svítidlo Deko-Light v měděném provedení přináší stylový akcent do každého interiéru. S maximálním výkonem 35 W a paticí GU10 je vhodné pro montáž do podhledů, kde nabízí nejen dostatečné osvětlení, ale i možnost směrování světelného paprsku díky naklápěcímu mechanismu (až 30°). Skvělá volba pro obývací pokoje, chodby i komerční prostory, kde oceníte kombinaci moderního vzhledu a flexibilního osvětlení.Hlavní vlastnosti a výhody Elegantní povrch: Lakovaný kov v měděné barvě, lesklý povrch, moderní a luxusní vzhled. Flexibilita osvětlení: Svítidlo je výkyvné (schopnost naklápění 30°), světlo lze přesně nasměrovat podle potřeby. Snadná montáž: Určeno pro vestavnou montáž do podhledů (výřez 68 mm, celkový průměr 89 mm, hloubka 140 mm). Individuální volba žárovky: Svítidlo je bez světelného zdroje – doporučujeme úsporné LED žárovky GU10 pro maximální efektivitu a dlouhou životnost. Stmívatelnost: Možnost stmívání při použití vhodné žárovky (dle typu žárovky a ovladače). Bezpečnost: Ochrana proti dotyku (IP20), dvojitá izolace (třída II), vhodné pro vnitřní použití.Technické parametry Napětí: 220–240 V AC, 50/60 Hz Použitá patice: GU10 (max. 1x 35 W, žárovka není součástí dodávky) Materiál: kov, povrch lesklý, barva měď Rozměry: průměr 89 mm, výška 140 mm, instalační otvor 68 mm Směr světla: dolů, symetrická distribuce Stupeň krytí: IP20 – pouze pro suché vnitřní prostory Hmotnost: 120 g Rozsah provozní teploty: -5 až 40 °CDoporučení architektaTento typ vestavného svítidla doporučuji všude tam, kde požadujete decentní, ale přesto vizuálně atraktivní osvětlení s možností směrování světla. Měděná úprava vytváří hřejivý dojem a hodí se především do moderních či industriálních interiérů, kde může doplnit kovové prvky nebo dřevěné materiály.Trust badges & garance Certifikace: CE Záruka: 2 rokyNejčastější dotazy (FAQ) Lze svítidlo stmívat? Ano, svítidlo je stmívatelné – závisí však na použité žárovce GU10. Pro stmívání použijte žárovku a stmívač kompatibilní s GU10 LED. Jaký světelný zdroj zvolit pro maximální úsporu? Doporučujeme LED žárovky GU10, které nabízejí nízkou spotřebu energie a dlouhou životnost.

Objev podobné jako Light Impressions Deko-Light stropní vestavné svítidlo 220-240V AC/50-60Hz GU10 1x max. 35,00 W měď 110036

Závěsné svítidlo Kapego Bell měď – elegantní a nadčasový akcent pro každý interiérZávěsné svítidlo Kapego Bell v měděném provedení vyniká svým minimalistickým designem a kvalitním kovovým stínidlem s lesklou úpravou. Jeho elegantní vzhled vnáší do prostoru nádech industrial chic a vytváří příjemně neoslňující světelnou atmosféru. Ideální volba nad jídelní stůl, do restaurace, baru nebo moderní kuchyně.Hlavní vlastnosti a výhody Materiál: Odolný kov s povrchovou úpravou v lesklé mědi Průměr stínidla: 300 mm Výška svítidla: 300 mm Maximální délka zavěšení: až 1350 mm – snadno přizpůsobitelné výšce místnosti Patic E27: Možnost použití LED, úsporných i klasických žárovek (max. 40 W – žárovka není součástí balení) Stmívatelné: Ano, při použití stmívatelného světelného zdroje Směr svícení: Přímé světlo směrem dolů – ideální pro osvětlení stolů a pracovních ploch Montáž: Jednoduchá stropní instalace (včetně veškerého potřebného příslušenství) Stupeň krytí: IP20 – určeno pro vnitřní prostoryDesignové doporučení architektaSvítidlo Kapego Bell doporučuji kombinovat s teplým světelným zdrojem pro zvýraznění jedinečného měděného odstínu. Skvěle vynikne v interiérech s přírodními materiály, betonem či dřevem. Je vhodné instalovat samostatně nad menší stoly, nebo v sestavě nad delší jídelní plochu.Technické parametry Vstupní napětí: 220–240 V AC / 50–60 Hz Max. výkon žárovky: 1 × 40 W Průměr základny: 120 mm Hmotnost: 1,7 kg Stupeň ochrany: Třída I (uzemnění) Rozsah provozních teplot: -5 až 40 °CTrust badges & garance Certifikace: CE Záruka: 2 rokyNejčastější dotazy (FAQ) Lze zkrátit délku závěsu? Ano, délku přívodního kabelu lze při montáži upravit dle potřeby konkrétního prostoru. Jaký typ žárovky doporučujete pro maximální úsporu? Doporučujeme použití kvalitní LED žárovky E27 s teplotou chromatičnosti 2700–3000 K pro příjemné, teplé světlo a minimální spotřebu energie.Objevte nadčasový styl, který zaujme na první pohled a podtrhne eleganci vašeho interiéru!

Objev podobné jako Light Impressions Kapego závěsné svítidlo Bell 220-240V AC/50-60Hz E27 1x max. 100,00 W 300 mm měď 342052

Accounting & Taxation Terminology in Practice (Odborná účetní a daňová terminologie pro studenty) je určena jak studentům, tak profesionálům, kteří chtějí rozšířit své porozumění odborné terminologie v oblasti účetnictví a daní v anglickém jazyce. Představuje jedinečný komplexní zdroj k rozvoji slovní zásoby v těchto oblastech. Kniha je strukturována do dvou hlavních částí: kapitoly 1–6 se zabývají daňovou problematikou a poskytují přehled daní používaných v moderních ekonomikách, vysvětlují jejich funkce a metodiku výpočtu daňových povinností u jednotlivých daní, kapitoly 7–13 se věnují účetním tématům, jako je základní definice účetní terminologie a témata související s rozvahovými a výsledkovými položkami. Závěrečné kapitoly se věnují finančním výkazům a procesům spojeným s koncem účetního období. Každá kapitola obsahuje slovníček česko-anglické terminologie, praktické příklady a zejména didaktické materiály: křížovky, kvízy nebo početní příklady, které lze využít jak při výuce, tak při samostudiu k ověření získaných znalostí.

Objev podobné jako Accounting and Taxation Terminology in Practice - Lucie Formanová, Veronika Solilová

ACA Lighting stojanový ventilátor FANSMPC50 – kovový měděný Ø 45 cm, 60 W Elegantní stojanový ventilátor s industriálním šarmem kombinuje měděnou povrchovou úpravu a celokovovou konstrukci pro dlouhou životnost a vysoký výkon. Průměr 45 cm (18″) a čtyři kovové lopatky zajišťují rychlou cirkulaci vzduchu v místnostech do 20 m², přičemž hlučnost nepřesahuje 58 dB, takže je ideální do obývacího pokoje, ložnice i kanceláře. Klíčové vlastnosti Kovové provedení v luxusním měděném odstínu, stříbrné lopatky Průměr 45 cm a čtyři kovové lopatky pro silný proud vzduchu Výkonný AC motor 60 W se 3 rychlostmi (1050/1150/1250 ot./min) Oscilace 80° pro rovnoměrné chlazení celé místnosti Nastavitelná výška 105–125 cm, stabilní kulatá základna Nízká spotřeba: 38 W / 42 W / 45 W podle zvolené rychlosti Tichý chod < 58 dB – vhodný i do ložnice Třída ochrany II, krytí IP20, bezpečnostní spirálová mřížka Certifikace EMC 2014/30/EU a LVD 2014/35/EU (CE) Technické parametry Model: FANSMPC50 Rozměry produktu: 50 × 40 × 130 cm Průměr věnce: 18″ (45 cm) Nastavitelná výška: 105–125 cm Napětí / Frekvence: 230 V / 50 Hz Počet rychlostí: 3 (1050 / 1150 / 1250 ot./min) Spotřeba: 38 W | 42 W | 45 W Hlučnost: < 58 dB(A) Materiál lopatek: kov Hmotnost netto / brutto: 6,8 kg / 7,8 kg Balení: 510 × 160 × 640 mm EAN: 5208055099351 Proč zvolit tento ventilátor? Díky kombinaci robustní kovové konstrukce a měděného povrchu získáte nejen designový doplněk do interiéru, ale hlavně spolehlivý a výkonný zdroj svěžího vzduchu. Oscilační režim 80° pomáhá rozptýlit horko rovnoměrně po celé místnosti, zatímco nízká hlučnost pod 58 dB neruší při práci ani spánku. Doporučení architekta Umístěte ventilátor 40–50 cm od stěny, aby mohl nasávat dostatek vzduchu, a slaďte jej s měděnými svítidly v industriálním stylu. V otevřených loftových prostorech se nebojte výrazného kontrastu se surovým betonem či cihelnými prvky – měděný tón dodá prostoru teplý akcent. Trust badges & garance Záruka 2 roky – bezstarostný provoz a rychlé vyřízení případných reklamací Certifikace CE – splňuje aktuální evropské bezpečnostní normy Třída ochrany II & IP20 – zvýšené bezpečí při každodenním používání FAQ – nejčastější dotazy Lze nastavit sklon ventilátoru? Ventilátor umožňuje horizontální oscilaci 80°, vertikální náklon není k dispozici. Je vhodný do ložnice? Ano, při nejnižší rychlosti dosahuje hlučnosti pod 58 dB a spotřebuje jen 38 W, takže neruší během spánku a je energeticky úsporný.

Objev podobné jako ACA Lighting stojanový ventilátor, kov, měď, 45cm, AC 60W FANSMPC50

"The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better." - Todd Cook The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library. Written by Google AI researcher François Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. You''ll build your understanding through practical examples and intuitive explanations that make the complexities of deep learning accessible and understandable. about the technologyMachine learning has made remarkable progress in recent years. We''ve gone from near-unusable speech recognition, to near-human accuracy. From machines that couldn''t beat a serious Go player, to defeating a world champion. Medical imaging diagnostics, weather forecasting, and natural language question answering have suddenly become tractable problems. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications across every industry sector about the bookDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You''ll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You''ll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you''ll have the knowledge and hands-on skills to apply deep learning in your own projects. what''s insideDeep learning from first principlesImage-classification, imagine segmentation, and object detectionDeep learning for natural language processingTimeseries forecastingNeural style transfer, text generation, and image generation about the readerReaders need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the authorFrançois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

Objev podobné jako Deep Learning with Python - François Chollet

Effective teaching is effective teaching, no matter where it occursThe pandemic teaching of mid-2020 was not really distance learning, but rather crisis teaching. But starting now, teachers have the opportunity to prepare for distance learning with purpose and intent—using what works best to accelerate students’ learning all the while maintaining an indelible focus on equity.Harnessing the insights and experience of renowned educators Douglas Fisher, Nancy Frey, and John Hattie, The Distance Learning Playbook applies the wisdom and evidence of VISIBLE LEARNING® research to understand what works best with distance learning. Spanning topics from teacher-student relationships, teacher credibility and clarity, instructional design, assessments, and grading, this comprehensive playbook details the research- and evidence-based strategies teachers can mobilize to deliver high- impact learning in an online, virtual, and distributed environment.This powerful guide includes: Learning Intentions and Success Criteria for each module to track your own learning and model evidence-based teacher practices for meaningful learning A diversity of instructional approaches, including direct instruction, peer learning, and independent work that foster student self-regulation and move learning to deep and transfer levels Discussion of equity challenges associated with distance learning, along with examples of how teachers can work to ensure that equity gains that have been realized are not lost. Special guidance for teachers of young children who are learning from a distance Videos of the authors and teachers discussing a wide variety of distance learning topics Space to write and reflect on current practices and plan future instruction The Distance Learning Playbook is the essential hands-on guide to preparing and delivering distance learning experiences that are truly effective and impactful.To purchase from an Authorized Corwin Distributor click here.A Spanish translation of the Distance Learning Playbook, Grades K-12, Aprendizaje a Distancia Guia, Guia de Preescolar a Bachillerator, can be purchased by contacting Irene Yepez from Editorial Trillas at vigaexporta@trillas.mx.

Objev podobné jako The Distance Learning Playbook, Grades K-12 - John Hattie, Douglas Fisher, Nancy Frey

If you''ve been curious about artificial intelligence and machine learning but didn''t know where to start, this is the book you''ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you''ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models'' performance. You''ll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they''re trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You''ll conduct experiments along the way, building to a final case study that incorporates everything you''ve learned. This second edition is thoroughly revised and updated, and adds six new chapters to further your exploration of deep learning from basic CNNs to more advanced models. New chapters cover fine tuning, transfer learning, object detection, semantic segmentation, multilabel classification, self-supervised learning, generative adversarial networks, and large language models. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning, 2nd Edition will give you the skills and confidence to dive into your own machine learning projects.

Objev podobné jako Practical Deep Learning, 2nd Edition - Ronald T. Kneusel

Help students move from surface-level learning to the transfer of understanding. How do social studies teachers maximize instruction to ensure students are prepared for an informed civic life? VISIBLE LEARNING® for Social Studies, Grades K-12 shows how the field is more than simply memorizing dates and facts—it encapsulates the skillful ability to conduct investigations, analyze sources, place events in historical context, and synthesize divergent points of view. The Visible Learning framework demonstrates that learning is not an event, but rather a process in which students move from surface-level learning to deep learning, and then onto the transfer of concepts, skills, and strategies. Encouraging learners to explore different facets of society, history, geography, and more, best practices for applying visible learning to social studies curriculum are presented through: ·        A scaffolded approach, including surface-level learning, deep learning, and transfer of learning ·        Examples of strategies, lessons, and activities best suited for each level of learning ·        Planning tools, rubrics, and templates to guide instruction Teachers must understand the impact they have on students and select approaches to maximize that impact. This book will guide you through the process of identifying the right strategy for the right time to successfully move students through surface, deep, and transfer learning. Â

Objev podobné jako Visible Learning for Social Studies, Grades K-12 - Julie Stern, John Hattie, Douglas Fisher, Nancy Frey

Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You''ll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. • Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for maximum long-term return.

Objev podobné jako Grokking Deep Reinforcement Learning - Miguel Morales

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field''s key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning''s relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson''s wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Objev podobné jako Reinforcement Learning - Andrew G. Barto, Richard S. Sutton

It''s time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools! In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you’re grokking as you go. You’ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Key Features · Different types of machine learning, including supervised and unsupervised learning · Algorithms for simplifying, classifying, and splitting data · Machine learning packages and tools · Hands-on exercises with fully-explained Python code samples For readers with intermediate programming knowledge in Python or a similar language. About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.

Objev podobné jako Grokking Machine Learning - Luis Serrano

On publication in 2009 John Hattie’s Visible Learning presented the biggest ever collection of research into what actually work in schools to improve children’s learning. Not what was fashionable, not what political and educational vested interests wanted to champion, but what actually produced the best results in terms of improving learning and educational outcomes. It became an instant bestseller and was described by the TES as revealing education’s ‘holy grail’. Now in this latest book, John Hattie has joined forces with cognitive psychologist Greg Yates to build on the original data and legacy of the Visible Learning project, showing how it’s underlying ideas and the cutting edge of cognitive science can form a powerful and complimentary framework for shaping learning in the classroom and beyond.Visible Learning and the Science of How We Learn explains the major principles and strategies of learning, outlining why it can be so hard sometimes, and yet easy on other occasions. Aimed at teachers and students, it is written in an accessible and engaging style and can be read cover to cover, or used on a chapter-by-chapter basis for essay writing or staff development. The book is structured in three parts – ‘learning within classrooms’, ‘learning foundations’, which explains the cognitive building blocks of knowledge acquisition and ‘know thyself’ which explores, confidence and self-knowledge. It also features extensive interactive appendices containing study guide questions to encourage critical thinking, annotated bibliographic entries with recommendations for further reading, links to relevant websites and YouTube clips. Throughout, the authors draw upon the latest international research into how the learning process works and how to maximise impact on students, covering such topics as:teacher personality;expertise and teacher-student relationships;how knowledge is stored and the impact of cognitive load;thinking fast and thinking slow;the psychology of self-control;the role of conversation at school and at home;invisible gorillas and the IKEA effect;digital native theory;myths and fallacies about how people learn.This fascinating book is aimed at any student, teacher or parent requiring an up-to-date commentary on how research into human learning processes can inform our teaching and what goes on in our schools. It takes a broad sweep through findings stemming mainly from social and cognitive psychology and presents them in a useable format for students and teachers at all levels, from preschool to tertiary training institutes.

Objev podobné jako Visible Learning and the Science of How We Learn - John Hattie, Gregory C. R. Yates

Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and WekaUnderstand decision trees, Bayesian networks, and artificial neural networksImplement Association Rule, Real Time, and Batch learningDevelop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.

Objev podobné jako Machine Learning - Jason Bell

Rethink the roles, responsibilities, and workflow in your blended learning classroom and enjoy balance in your life. Blended learning offers educators the opportunity to reimagine teaching and learning. It allows teachers to partner with their students to assess, track, and reflect on learning. This partnership gives teachers more time and energy to innovate and personalize learning while providing students the opportunity to be active agents driving their own growth. If one thing is certain after the 2019-2020 school year, blended learning is here to stay. Learning must be a shared endeavor between the teacher and the learner. This book provides teachers with strategies to rethink traditional workflows to make teaching practices sustainable. Written by blended learning expert, Catlin Tucker, this resource provides teachers with concrete strategies and resources they can use to partner with their students to actively engage them in setting goals, monitoring their development, reflecting on their growth, using feedback to improve work, assessing the quality of their work, and communicating their progress with parents. Balance With Blended Learning includes Practical strategies for teachers overwhelmed by their workloads Routines and protocols designed to move feedback and assessment into the classroom to eliminate much of the work teachers take home Ready-to-use templates and resources designed to help students take an active role in tracking, monitoring, and reflecting on their progress Vignettes written by teachers across disciplines Stories from the author′s extensive experience both as a teacher and blended -learning coach Redefining roles in a blended learning classroom encourages students to take ownership over their learning journeys and helps teachers feel more effective, efficient, and energized.

Objev podobné jako Balance With Blended Learning - Catlin R. Tucker

NVIDIA''s Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today''s exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience.After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images.Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA''s invention of the GPU sparked the PC gaming market. The company''s pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others.Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Objev podobné jako Learning Deep Learning - Magnus Ekman

The Complete Guide to Service Learning is the go-to resource in the fast-growing field of service learning. It is an award-winning treasury of service activities, community service project ideas, quotes, reflections, and resources that can help teachers and youth workers engage young hearts and minds in reaching out and giving back. Author and internationally known service learning expert Cathryn Berger Kaye presents service learning—its importance, steps, essential elements, and challenges—within a curricular context and organized by theme. This second edition maintains the easy-to-use format of the original and is enhanced with updated information on service learning programs and pedagogy. Benefits include:A blueprint for service learning, from getting started to assessing the experienceIntegration of K–12 service learning standardsInspiring quotations, background information and resources, preparation activities, real-life examples, and community service project ideas that have worked for other teachers13 thematic chapters covering topics commonly selected for service learning projects such as animal protection and care, elders, emergency readiness, the environment, hunger and homelessness, literacy, special needs, and moreHundreds of real-life field-tested service learning projectsIdeas for fortifying service learning programs by incorporating global literacy and creating a culture of serviceThe online digital content has over 200 pages of forms and bonus materials and includes:All of the planning and tracking forms from the book, many customizable 39 sample planning templates for all service learning themes at each grade level10 original essays written by experts in the field22 author interviews, including interviews with authors Laurie David, Cynthia Lord, Jordan Sonnenblick, Kathe Koja, Danica Novgorodoff, Janet Tashjian, Deborah Ellis, Sonia Levitin, Ellen Senisi, and more!More than 300 additional “Bookshelf” recommendations that describe books that offer teachable moments about community service, responsibility, caring, and helping, as well as ways to encourage discussion and combine literature and service learning.Drawing on her years as a classroom teacher and international service learning consultant, trainer, speaker, and program developer, Cathryn Berger Kaye tells you everything you want and need to know about service learning. Recommended for K–12 teachers and administrators, college and university faculty, youth group leaders, government agencies and nonprofits, and after-school programs. Teachers, parents, and group leaders: Use this valuable resource in a classroom or youth-serving organization, after-school program, or as a family.

Objev podobné jako The Complete Guide to Service Learning - Cathryn Berger Kaye

Generative Learning in Action helps to answer the question: which activities can students carry out to create meaningful learning? It does this by considering how we, as teachers, can implement the eight strategies for generative learning set out in the work of Fiorella and Mayer in their seminal 2015 work Learning as a Generative Activity: Eight Learning Strategies that Promote Learning. At a time when a great deal of attention has been paid to the teaching and learning from the perspective of effective instruction, Generative Learning looks at the flip side of coin and considers what is happening in the minds of the learner. This book takes a teachers-eye view of a range of theories of learning and keeps their application to the classroom firmly in mind through the use of case studies and reference to day to day practice. Generative Learning in Action also discusses the key considerations and potential limitations of each of the strategies, as well as how you could implement these in your own practice and more widely across a school. The authors bring a wealth of experience to this topic. Zoe Enser was a classroom English teacher for over 20 years as well as head of department and school leader in charge of improving teaching and learning. She is now lead specialist advisor for Kent with The Education People. Mark Enser has been a geography teacher for the best part of two decades as well as a head of department and research lead. He is the author of Making Every Geography Lesson Count and Teach Like Nobody''s Watching as well as a TES columnist.

Objev podobné jako Fiorella & Mayer's Generative Learning in Action - Enser Mark, Zoe Enser

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning—the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you'll dive into the tools, code, and math that make machine learning go—and you'll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can't doLearn the basics of machine learning code and how it integrates with large datasetsUnderstand the mathematical principles that AI uses to make itself smarterConsider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.

Objev podobné jako Machine Learning For Dummies - John Paul Mueller, Luca Massaron

Selected as the Michigan Council of Teachers of Mathematics winter book club book! Rich tasks, collaborative work, number talks, problem-based learning, direct instruction…with so many possible approaches, how do we know which ones work the best? In Visible Learning for Mathematics, six acclaimed educators assert it’s not about which one—it’s about when—and show you how to design high-impact instruction so all students demonstrate more than a year’s worth of mathematics learning for a year spent in school. That’s a high bar, but with the amazing K-12 framework here, you choose the right approach at the right time, depending upon where learners are within three phases of learning: surface, deep, and transfer. This results in "visible" learning because the effect is tangible. The framework is forged out of current research in mathematics combined with John Hattie’s synthesis of more than 15 years of education research involving 300 million students. Chapter by chapter, and equipped with video clips, planning tools, rubrics, and templates, you get the inside track on which instructional strategies to use at each phase of the learning cycle: Surface learning phase: When—through carefully constructed experiences—students explore new concepts and make connections to procedural skills and vocabulary that give shape to developing conceptual understandings. Deep learning phase: When—through the solving of rich high-cognitive tasks and rigorous discussion—students make connections among conceptual ideas, form mathematical generalizations, and apply and practice procedural skills with fluency. Transfer phase: When students can independently think through more complex mathematics, and can plan, investigate, and elaborate as they apply what they know to new mathematical situations. To equip students for higher-level mathematics learning, we have to be clear about where students are, where they need to go, and what it looks like when they get there. Visible Learning for Math brings about powerful, precision teaching for K-12 through intentionally designed guided, collaborative, and independent learning.

Objev podobné jako Visible Learning for Mathematics, Grades K-12 - Douglas Fisher, Nancy Frey, John Hattie, Sara Delano Moore, Linda M. Gojak, William Mellman

Engage the World Change the World Deep Learning has claimed the attention of educators and policymakers around the world. This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students. Deep Learning is a global partnership that works to: transform the role of teachers to that of activators who design experiences that build global competencies using real-life problem solving; and supports schools, districts, and systems to shift practice and how to measure learning in authentic ways. This comprehensive strategy incorporates practical tools and processes to engage students, educators, and families in new partnerships and drive deep learning. Inside you’ll find: The Deep Learning Framework Vignettes and case studies from K-12 classrooms in 1,200 schools in seven countries Guidance for reaching disadvantaged and differently abled students Sample protocols and rubrics for assessment Videos demonstrating deep learning design and innovative leadership in practice Through learning partnerships, learning environments, new pedagogical practices, and leveraged digital skills, deep learning reaches students as never before — preparing them to be active, engaged participants in their future.

Objev podobné jako Deep Learning - Joanne Quinn, Michael Fullan, Joanne J. McEachen

Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects. Key features • Structuring problems as Markov Decision Processes • Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them • Applying reinforcement learning algorithms to real-world problems Audience You’ll need intermediate Python skills and a basic understanding of deep learning. About the technology Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior from their own raw sensory input. The system perceives the environment, interprets the results of its past decisions, and uses this information to optimize its behavior for maximum long-term return. Deep reinforcement learning famously contributed to the success of AlphaGo but that’s not all it can do! Alexander Zai is a Machine Learning Engineer at Amazon AI working on MXNet that powers a suite of AWS machine learning products. Brandon Brown is a Machine Learning and Data Analysis blogger at outlace.com committed to providing clear teaching on difficult topics for newcomers.

Objev podobné jako Deep Reinforcement Learning in Action - Alexander Zai, Brandon Brown

Develop a mathematical intuition around machine learning algorithms to improve model performance and effectively troubleshoot complex ML problems. For intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus. Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you will learn the fundamentals of Bayesian inference and deep learning. You will also explore the core data structures and algorithmic paradigms for machine learning. You will explore practical implementations of dozens of ML algorithms, including: Monte Carlo Stock Price Simulation Image Denoising using Mean-Field Variational Inference EM algorithm for Hidden Markov Models Imbalanced Learning, Active Learning and Ensemble Learning Bayesian Optimisation for Hyperparameter Tuning Dirichlet Process K-Means for Clustering Applications Stock Clusters based on Inverse Covariance Estimation Energy Minimisation using Simulated Annealing Image Search based on ResNet Convolutional Neural Network Anomaly Detection in Time-Series using Variational Autoencoders Each algorithm is fully explored with both math and practical implementations so you can see how they work and put into action. About the technology Fully understanding how machine learning algorithms function is essential for any serious ML engineer. This vital knowledge lets you modify algorithms to your specific needs, understand the trade-offs when picking an algorithm for a project, and better interpret and explain your results to your stakeholders. This unique guide will take you from relying on one-size-fits-all ML libraries to developing your own algorithms to solve your business needs.

Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov

In November 2008, John Hattie’s ground-breaking book Visible Learning synthesised the results of more than fifteen years research involving millions of students and represented the biggest ever collection of evidence-based research into what actually works in schools to improve learning.Visible Learning for Teachers takes the next step and brings those ground breaking concepts to a completely new audience. Written for students, pre-service and in-service teachers, it explains how to apply the principles of Visible Learning to any classroom anywhere in the world. The author offers concise and user-friendly summaries of the most successful interventions and offers practical step-by-step guidance to the successful implementation of visible learning and visible teaching in the classroom.This book:links the biggest ever research project on teaching strategies to practical classroom implementationchampions both teacher and student perspectives and contains step by step guidance including lesson preparation, interpreting learning and feedback during the lesson and post lesson follow upoffers checklists, exercises, case studies and best practice scenarios to assist in raising achievementincludes whole school checklists and advice for school leaders on facilitating visible learning in their institutionnow includes additional meta-analyses bringing the total cited within the research to over 900comprehensively covers numerous areas of learning activity including pupil motivation, curriculum, meta-cognitive strategies, behaviour, teaching strategies, and classroom managementVisible Learning for Teachers is a must read for any student or teacher who wants an evidence based answer to the question; ‘how do we maximise achievement in our schools?’

Objev podobné jako Visible Learning for Teachers - John Hattie

The main feature of an outstanding lesson is that all students make progress. Taking the structure of a lesson as the starting point, this book demonstrates how assessment for learning can be used to enhance and support all aspects of the learning process. Including chapters on embedding assessment during each phase of the lesson, using assessment data to inform planning, questioning techniques and feedback, the book will help you to use assessment effectively to produce outstanding results. Packed full of practical strategies, this book shows you how you can make assessment meaningful in the classroom, directly impacting your students and creating a more autonomous learning environment. It is written specifically with the class teacher in mind and draws on a range of different examples across many subjects to deliver ideas that can be translated with ease to everyday teaching practices.With a strong focus on including assessment practices in the planning process to achieve outstanding results, this book covers:assessment for learning and an overview of the learning cyclepractical teaching strategies and effective techniques to use in the classroommarking, feedback and using data to drive learningembedding assessment for learning in your classroom, department and schoolAn effective guide for outstanding teaching and learning, this book offers an innovative approach and is packed full of practical exercises that are easy to apply in the classroom, proving essential reading for newly qualified and experienced teachers alike.

Objev podobné jako Outstanding Assessment for Learning in the Classroom - Jayne Bartlett

We are in this together and will get through this together  Parent involvement has always been a vital part of any child’s education, but the pandemic and resulting remote instruction require that parents and educators partner at a deeper level.  Following the tremendous success of The Distance Learning Playbook, K-12, education authorities Doug Fisher, Nancy Frey, and John Hattie have teamed up with New York Times bestselling author and parenting expert Rosalind Wiseman to bring you the consummate guide to support your child′s academic, social, and emotional development in any learning environment – while not overwhelming you in the process.  This essential guide will arm you with the tools and insight to Create an environment conducive to learning, establish routines, and most importantly, take care of yourself and your child Maximize the time you spend supporting learning by focusing on what is proven to work best in education Help your child develop the cognitive attitudes and habits that foster creativity, critical thinking, and increased responsibility for their learning Support the development of your child’s social and emotional learning skills, including the ability to navigate social interactions, build friendships, and regulate emotions at a time when they have never been more important to have, and more challenging to maintain The Distance Learning Playbook for Parents outlines supportive strategies for navigating virtual environments to ensure effective and impactful learning that aligns the needs and expectations of teachers, parents, and students alike.

Objev podobné jako The Distance Learning Playbook for Parents - John Hattie, Douglas Fisher, Nancy Frey, Rosalind Wiseman

Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the “brain” behind the world’s smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the “black box” API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Key Features:Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari gameHands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. ABOUT THE TECHNOLOGY Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence.

Objev podobné jako Grokking Deep Learning - Andrew W Trask

Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you''ll discover just how effective and fun PyTorch can be. Key features • Using the PyTorch tensor API • Understanding automatic differentiation in PyTorch • Training deep neural networks • Monitoring training and visualizing results • Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.

Objev podobné jako Deep Learning with PyTorch - Eli Stevens, Luca Antiga

An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning.Covers generation of high dimensional outputs, such as images, text, and graphs Discusses methods for discovering insights about data, based on latent variable models Considers training and testing under different distributionsExplores how to use probabilistic models and inference for causal inference and decision makingFeatures online Python code accompanimentÂ

Objev podobné jako Probabilistic Machine Learning - Kevin P. Murphy

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naïve Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

Objev podobné jako An Introduction to Statistical Learning - Trevor Hastie, Robert Tibshirani, Daniela Witten, Gareth James

Based on a solid theoretical basis of assessment-as-learning and updated empirical evidences, this timely book significantly expands the existing scope of assessment-as-learning typically developed in Western contexts.This edited volume updates theoretical and empirical advances in assessment-as-learning in complex learning processes, brought together by an international panel of authors. The contributors provide a wide range of practical ways to harness the power of assessment-as-learning to make it work more effectively not only in the classroom, but also across other achievement-related situations (e.g. examinations, learning processes before and after classes).Assessment as Learning provides a deep contemporary insight into the field of formative assessment, and brings much-needed international perspectives to complement the current Western-focused research. This is a valuable contribution to the discussion, and provides useful insight for researchers in Education.

Objev podobné jako Assessment as Learning

Effective school leadership is effective leadership, regardless of where it occurs In March 2020, there was no manual for leading schools and school systems during a pandemic. School leaders had to figure things out as the crisis unfolded. But starting now, leaders have the opportunity to prepare for leading schools through distance learning with purpose and intent—using what works best to accelerate students’ learning all the while maintaining an indelible focus on equity. Harnessing the insights and experience of renowned educators Douglas Fisher, Nancy Frey, and John Hattie, The Distance Learning Playbook for School Leaders applies the wisdom and evidence of the VISIBLE LEARNING® research to understand what works best. Spanning topics from school climate at a distance, leader credibility, care for self and colleagues, instructional leadership teams, stakeholder advisory groups, and virtual visibility, this comprehensive playbook details the research- and evidence-based strategies school leaders can mobilize to lead the delivery of high-impact learning in an online, virtual, and distributed environment. This powerful guide includes: Actionable insights and hands-on steps for each module to help school leaders realize the evidence-based leadership practices that result in meaningful learning in a distance environment Discussion of equity challenges associated with distance learning, along with examples of how leaders can work to ensure that equity gains that have been realized are not lost. Analysis of the mindsets that empower leaders to manage change, rather than technology Space to write and reflect on current practices and plan future leadership strategies The mindframes for distance learning that serve leaders well in any instructional setting and will position schools after the pandemic to come back better than they were before The Distance Learning Playbook for School Leaders is the essential hands-on guide to leading school and school systems from a distance and delivering on the promise of equitable, quality learning experiences for students. Â

Objev podobné jako The Distance Learning Playbook for School Leaders - John Hattie, Douglas Fisher, Nancy Frey, Dominique Smith

First, let’s commend ourselves: how in the midst of a pandemic we faculty stepped up at record speed to teach in such a foreign learning environment. Try we did, adapt we did, and learn we did. But to be clear, and we already recognize this, this past spring was less about distance learning and more about crisis teaching. This time around we have the opportunity to be much more purposeful and intentional, and that’s where The Distance Learning Playbook for College and University Instruction will prove absolutely indispensable. Much more than a collection of cool tools and apps, The Distance Learning Playbook for College and University Instruction mobilizes decades of Visible Learning® research to reveal those evidence-based strategies that work best in an online environment. Supplemented by video footage and opportunities to self-assess and reflect, the book addresses every dynamic that must be in place for students to learn, even at a distance: Faculty-student relationships from a distance  Teacher credibility from a distance Teacher clarity from a distance Engaging tasks from a distance Planning learning experiences from a distance Feedback, assessment, and grading from a distance Keeping the focus on learning, from a distance or otherwise What does our post-COVID future hold? "We suspect," Fisher, Frey, Almarode, and Hattie write, "it will include increased amounts of distance learning. In the meantime, let’s seize on what we have learned to improve post-secondary education in any format, whether face-to-face or from a distance." "We are all still active faculty members, committed to teaching, scholarship, and service. The unexpected transition to remote learning doesn’t mean we no longer know how to teach. We can still impact the lives of our students and know that we made a difference. The Distance Learning Playbook for College and University Instruction will show you how." ~Douglas Fisher, Nancy Frey, John Almarode, and John Hattie

Objev podobné jako The Distance Learning Playbook for College and University Instruction - Douglas Fisher, Nancy Frey, John Hattie, John T. Almarode

Effectively assess learning in the most critical years of a child′s developmentYoung children’s learning in preschool and childcare settings sets the foundation for the elementary school years to come. Skills in speaking, listening, reading, math, science, and the arts develop inside everyday instructional routines that teachers and childcare providers make available to children. How can educators be sure of what their children are learning and how to support their progress?Listening to Learning provides pre-service and in-service teachers and childcare providers working with young learners with an innovative and practical way to assess children’s learning while they are engaged in daily instructional routines. This book offers: Methods for observing, documenting, and analyzing what and how young children are learning Strategies for monitoring children′s progress across various areas, including sciences, arts, mathematics, language arts, and play Approaches for making informed instructional adaptations that address the developmental needs of young learners from diverse home and community settings A framework that shows how instructional routine activities can be used to bridge classroom assessment with the teaching and learning processWith years of expertise and a thorough analysis of assessment techniques, the authors effectively showcase the power of instructional routines as a tool for understanding and enhancing student learning in these most formative years of development.

Objev podobné jako Listening to Learning - Gillian Dowley McNamee, Jie-Qi Chen

Strategies, tools, and motivation for learning a new language Learning A New Language For Dummies explains how you can create a personal plan to achieve your language learning goals. Get research-based suggestions for speeding up your language acquisition and learn about the benefits of leveling up your linguistic ability. Even if you've never studied a language before, this easy-to-understand guide will prepare you to pick the learning methods that will work best for you. You#ll also get an intro to the basics of how humans learn languages, so you can stay motivated, set realistic goals, and achieve success. No matter what language you want to learn, this Dummies guide will help you start off on the right foot. Choose a language learning approach that fits you and your lifestyleGet step-by-step guidance for making a plan and setting achievable goalsLearn techniques and strategies for learning quicker and retaining moreImprove your odds of success with a foundation of knowledge about the learning process Anyone considering learning a new language or refreshing their knowledge of a language—and language teachers, too—will love Learning a New Language For Dummies.

Objev podobné jako Learning A New Language For Dummies - Maria J. Cabrera-Puche

An understanding of the scientific principles underpinning the learning and execution of fundamental and skilled movements is of central importance in disciplines across the sport and exercise sciences. The second edition of Motor Control, Learning and Development: Instant Notes offers students an accessible, clear and concise introduction to the core concepts of motor behavior, from learning through to developing expertise.Including two brand new chapters on implicit versus explicit learning and motor control and aging, this new edition is fully revised and updated, and covers:definitions, theories and measurements of motor control;information processing, neurological issues and sensory factors in control;theories and stages of motor learning;memory and feedback;the development of fundamental movement skills;and the application of theory to coaching and rehabilitation practice.Highly illustrated and well-formatted, the book allows readers to grasp complex ideas quickly, through learning objectives, research highlights, review questions and activities, and encourages students to deepen their understanding through further reading suggestions. This is important foundational reading for any student taking classes in motor control, learning or behavior or skill acquisition, or a clear and concise reference for any practicing sports coach, physical education teacher or rehabilitation specialist.

Objev podobné jako Motor Control, Learning and Development - Andrea Utley

For the last eight years, James and Kate have been working together to design, implement and evaluate a whole-school, evidence-informed approach to teaching and learning known as Learning Skills. An eight-year study with the University of Cambridge revealed that Learning Skills led to significant gains in subject learning, with rapid gains among students from disadvantaged backgrounds. In this practical guide for teachers and school leaders, James and Kate reveal a recipe for success rooted in three key concepts: metacognition (reflecting on learning); self-regulation (taking ownership over the learning process); and oracy (developing high-quality speaking and listening skills). This is a book about what happened when a small team of teachers seized an opportunity to provide their students with the knowledge, the skills and the confidence to take control of their own learning. This journey began with a question: how and what would we teach, if there was no one watching? On the other side of fear is the teacher you want to be, and the children you''d like to teach...

Objev podobné jako Fear Is The Mind Killer: Why Learning to Learn deserves lesson time - and how to make it work for your pupils - James Mannion, Kate McAllister

Design meaningful experiences through Learning Experience Design We''ve all had memorable experiences that taught us valuable lessons and leave a lasting impression. What if you could design such experiences for the learners at your school, company, or a client? You can—with the breakthrough perspective, methodologies, skills, and tools of Learning Experience Design (LXD). Whether your background is in design or learning, Niels Floor helps you take responsibility for the entire learning experience: all that happens, what each learner does, how it makes them feel, and how the outcome affects them. Floor illuminates nine indispensable LXD rules and walks through all six steps of the iterative LXD process: question, research, design, develop, test, and launch. You''ll explore his powerful Learning Experience Canvas for designing outstanding experiences; and successfully integrate complementary tools such as Personas, Empathy Maps, and Experience Mapping. Packed with inspiring examples and enlightening exercises, this book provides all you need to confidently practice LXD yourself and transform more lives through learning. You''ll learn how to Discover new possibilities and creative solutions for learning. Empathize with the learner and their challenges through design research. Craft unforgettable experiences that deliver lasting, meaningful positive impacts.

Objev podobné jako This is Learning Experience Design - Niels Floor

The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARLÂ’s models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.Multi-Agent Reinforcement Learning (MARL), an area of machine learning in which a collective of agents learn to optimally interact in a shared environment, boasts a growing array of applications in modern life, from autonomous driving and multi-robot factories to automated trading and energy network management. This text provides a lucid and rigorous introduction to the models, solution concepts, algorithmic ideas, technical challenges, and modern approaches in MARL. The book first introduces the fieldÂ’s foundations, including basics of reinforcement learning theory and algorithms, interactive game models, different solution concepts for games, and the algorithmic ideas underpinning MARL research. It then details contemporary MARL algorithms which leverage deep learning techniques, covering ideas such as centralized training with decentralized execution, value decomposition, parameter sharing, and self-play. The book comes with its own MARL codebase written in Python, containing implementations of MARL algorithms that are self-contained and easy to read. Technical content is explained in easy-to-understand language and illustrated with extensive examples, illuminating MARL for newcomers while offering high-level insights for more advanced readers. First textbook to introduce the foundations and applications of MARL, written by experts in the fieldIntegrates reinforcement learning, deep learning, and game theoryPractical focus covers considerations for running experiments and describes environments for testing MARL algorithmsExplains complex concepts in clear and simple languageClassroom-tested, accessible approach suitable for graduate students and professionals across computer science, artificial intelligence, and robotics Resources include code and slidesÂ

Objev podobné jako Multi-Agent Reinforcement Learning - Filippos Christianos, Stefano V. Albrecht

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, (NLP) expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning • Models for textual similarity • Deep memory-based NLP • Semantic role labeling • Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He’s the technical coordinator of two large European Union-funded research security-related projects. He’s currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.

Objev podobné jako Deep Learning for Natural Language Processing - Stephan Raaijmakers

The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you''ll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It''s important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You''ll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you''ll be glad you can quickly identify and fix problems. about the book Math and Architectures of Deep Learning sets out the foundations of DL in a way that''s both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You''ll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. By the time you''re done, you''ll have a combined theoretical insight and practical skills to identify and implement DL architecture for almost any real-world challenge.

Objev podobné jako Math and Architectures of Deep Learning - Krishnendu Chaudhury

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniquesEnd-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presentedA companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.

Objev podobné jako Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav

Terapeutický med s heřmánkem – přirozená pomoc při trávení a zklidnění Trávicí potíže , nervozita a nekvalitní spánek dokážou výrazně snížit kvalitu každodenního života. Pocit těžkého žaludku po jídle, neustálý stres a probdělé noci vás vyčerpávají. Pokud hledáte spolehlivé řešení, které nezatíží organismus dalšími chemickými látkami, jste na správném místě. Terapeutický med s heřmánkem pravým od Naturmeda spojuje sílu přírody – blahodárné účinky heřmánku na zdraví s přirozenou a sladkou chutí kvalitního slovenského medu. Jemná, účinná podpora pro vaše tělo, která chutná stejně dobře, jako funguje. Proč je náš terapeutický med výjimečný? Synergie medu a heřmánku – dvojnásobná síla Včelí med sám o sobě je ceněn pro své antibakteriální účinky, podporu imunity a energetickou hodnotu . Když ho však spojíme s tetra extraktem heřmánku pravého, vzniká exkluzivní kombinace, která dokáže mnohem víc. Heřmánkový extrakt obohacuje med o protizánětlivé, zklidňující a trávení podporující účinky , čímž se z obyčejného medu stává terapeutický pomocník pro vaše zdraví. Tetra extrakt heřmánku – koncentrovaná bylinná síla Med obsahuje 270 mg tetra extraktu z heřmánku pravého ( Matricaria chamomilla ). Pokročilá tetra extrakce zajišťuje vysokou koncentraci účinných látek – flavonoidů, silic a dalších bioaktivních sloučenin, které podporují přirozené hojivé procesy v těle. Pastovaný květový med slovenské kvality Používáme výhradně kvalitní slovenský květový med v pastované formě. Pastování medu znamená jemnou, krémovou konzistenci, která se snadno rozpouští a příjemně chutná. Med pochází z čistých slovenských oblastí, což garantuje jeho přirozenost a vysokou kvalitu. Pro koho je tento produkt určen? Terapeutický med s heřmánkem je ideální pro všechny, kteří: Řeší dlouhodobé trávicí potíže (nadýmání, koliky, pomalé trávení) Trpí nervozitou, stresem nebo problémy se spánkem Bývají často nachlazení a chtějí podpořit imunitu Hledají přirozenou alternativu k chemickým zklidňujícím prostředkům Upřednostňují prémiové slovenské produkty s bylinami, které mají ozdravné účinky Chtějí spojit chuť tradičního medu s terapeutickými benefity Způsob použití a doporučené dávkování: Přímé užití: 2–3× denně čajová lžička. Příprava nápoje: Čajovou lžičku medu rozmíchejte ve 200 ml studené nebo vlažné vody, přidejte pár kapek citronu nebo led pro osvěžení. Nezahrívejte na více než 40 °C, aby zůstaly zachovány terapeutické účinky. Zdravotní upozornění: Uchovávejte mimo dosah dětí. Nepoužívejte při individuální nesnášenlivosti či přecitlivělosti na některou ze složek. Skladování: Skladujte na tmavém místě, mimo dosah dětí, při teplotě do 25 ºC. Země původu: Slovensko Obsah balení/Objem: 220 g FAQ – Často kladené otázky: Mohu med přidávat do horkého čaje? Doporučujeme přidávat med do teplé, nikoli vroucí tekutiny (ideálně do 40 °C). Příliš vysoká teplota může snížit účinnost některých enzymů a účinných látek. Jak dlouho trvá, než ucítím účinky? Při akutních problémech (například bolest v krku) můžete pocítit úlevu už po první dávce. Při chronických problémech s trávením nebo spánkem doporučujeme pravidelné užívání alespoň 2–3 týdny. Je med vhodný i pro děti? Obecně se med nedoporučuje dětem do 1 roku. Pro starší děti konzultujte použití s pediatrem, jelikož jde o terapeutický produkt s bylinným extraktem. Mohu med kombinovat s jinými produkty Naturmeda? Ano, med lze kombinovat s dalšími bylinnými extrakty . Doporučujeme však nepřekračovat maximálně 3 různé bylinné přípravky současně. Je med vhodný pro diabetiky? Med obsahuje přírodní cukry (fruktózu, glukózu), proto by lidé s cukrovkou měli konzultovat jeho užívání s lékařem a započítat ho do celkového příjmu sacharidů.

Objev podobné jako Terapeutický med s heřmánkem pravým – 220 g – Naturmeda

Huawei S220-24T4X Switch (24*GE ports, 4*10GE SFP+ ports, built-in AC power) Based on the next-generation high-performance hardware and software platform, Huawei eKitEngine S220 series switches stand out with features such as flexible Ethernet networking, and diversified security control. In addition, eKitEngine S220 series switches support delivering higher performance and more powerful service processing capabilities. These make them ideal for various application scenarios, such as enterprise campus access and gigabit to the desktop Switching capacity 128 Gbps Packet forwarding 95 Mpps Fixed port 24 x 10/100/1000BASE-T ports, 4 x10GE SFP+ ports Chassis dimensions (H x W x D) 43.6 mm x 442 mm x 220 mm Chassis height 1 U Weight in full configuration (including packaging materials) 3,44 kg Power module type Built-in AC power module Rated voltage 100 V to 240 V AC, 50/60 Hz Maximum power consumption 35,04 W Input voltage range [V] ƒ AC input: 90 V AC to 290 V AC, 45 Hz to 65 Hz Noise Sound power at normal temperature: 47 dB (A) ƒSound power at high temperature: 51 dB (A) ƒSound pressure at normal temperature: 35 dB (A) Chassis height [U] 1 Installation type Rack mounting,Desk mounting,Wall mounting Chassis material Metal Weight without packaging [kg(lb)] 2.32 (5.11) Weight with packaging [kg(lb)] 3.44 (7.58) Typical power consumption [W] 27.27 Typical heat dissipation [BTU/hour] 93.05 Maximum power consumption [W] 35.04 Maximum heat dissipation [BTU/hour] 119.56 Static power consumption [W] 19.00 100% power consumption [W] 27.27 MTBF [year] 70.75 MTTR [hour] 2 Availability > 0.99999 Noise at normal temperature (acoustic power) [dB(A)] 47 Noise at high temperature (acoustic power) [dB(A)] 51 Noise at normal temperature (acoustic pressure) [dB(A)] 35 Number of fans modules 1 Maximum number of physical ports on the entire device 28 Maximum number of FE ports 24 Uplink ports 4 x 10GE SFP+ ports Downlink ports 24 x 10/100/1000BASE-T ports Dedicated stack port Not supported Redundant power supply Not supported Long-term operating temperature [°C(°F)] -5°C to +50°C (23°F to 122°F) at an altitude of 0-1800 m (0-5905.44 ft.) Restriction on the operating temperature variation rate [°C(°F)] When the altitude is 1800–5000 m (5906–16404 ft.), the highest operating temperature reduces by 1°C (1.8°F) every time the altitude increases by 220 m (722 ft.). Devices cannot start when the temperature is lower than 0°C (32°F). Storage temperature [°C(°F)] –40°C to +70°C (–40°F to +158°F) Long-term operating relative humidity [RH] 5% RH to 95% RH (non-condensing) Long-term operating altitude [m(ft.)] 0–5000 m (0–16404 ft.) Storage altitude [m(ft.)] 0-5000 m (0-16404 ft.) Power supply mode AC built-in Rated input voltage [V] AC input: 100–240 V AC; 50/60 Hz Input voltage range [V] AC input: 90 V AC to 264 V AC; 45 Hz to 65 Hz Maximum input current [A] 0.8 A CPU 1.1 GHz, 2 cores Memory 2 GB Flash memory Physical space: 1 GB Console port RJ45 Power supply surge protection [kV] Differential mode: ±6 kV; common mode: ±6 kV Ingress protection level (dustproof/waterproof) IP20 Types of fans Built-in Heat dissipation mode Air cooling for heat dissipation, intelligent fan speed adjustment Airflow direction Air intake from left and front, air exhaustion from right PoE Not supported Maximum number of 10GE ports 4 Maximum number of GE ports 28 Eth Management port Not supported USB Not supported Service port surge protection [kV] Common mode: ±7 kV

Objev podobné jako Huawei S220-24T4X Switch (24*GE ports, 4*10GE SFP+ ports, built-in AC power)

Nabíjecí baterie pro aku nářadí 8800, 8808, 8810, 9011955, 9011970, 901195501, ACCU 45, ACCU 60 Akumulátor Avacom je speciálně určený pro nůžky na plot, a to konkrétně Gardena 8800, 8808, 8810, 9011955, 9011970, 901195501, ACCU 45 a ACCU 60. Obsahuje vysoce kvalitní články Ni-MH AVACOM a disponuje kapacitou 2500 mAh. Na mínusovém pólů je faston šíře 4,8 mm, zatímco na plusovém 6,3 mm. Akumulátor Avacom umožní spolehlivý chod nůžek na plot. Klíčové vlastnosti náhradní baterie pro aku nářadí Avacom pro Gardena typ ACCU 60 Ni-MH 3,6 V 2500 mAhAkumulátor určený pro nůžky na plotVhodný pro Gardena 8800, 8808, 8810, 9011955, 9011970, 901195501, ACCU 45 a ACCU 60Obsahuje vysoce kvalitní články Ni-MH AVACOMAkumulátor Avacom disponuje kapacitou 2500 mAh Kompatibilita:8800, 8808, 8810, 9011955, 9011970, 901195501, ACCU 45 a ACCU 60

Objev podobné jako Avacom pro Gardena typ ACCU 60 Ni-MH 3,6V 2500mAh (ATGA-AC60-25H)

Viking AC Cube PD: Více než jen adaptér &lt;img src=&quot;/image/31602114-6523ad1e57648-1076551-620-620-3.webp&quot;&gt; Potřebujete efektivní a stylové řešení pro napájení? Seznamte se s AC Cube PD. Stylový adaptér s jedinečným designem. Revoluce ve vašem napájení a nabíjení. Výkon na dosah ruky AC Cube PD má čtyři integrované AC 230V výstupy. Dva rychlé USB-A výstupy. Plus jeden výkonný USB-C výstup. Rychlonabíjení PD a QC podporováno. Nabíjí až sedm zařízení najednou. Spolehlivá ochrana &lt;img src=&quot;/image/31602114-6523ad1e5dbbd-1076552-620-620-3.webp&quot;&gt; AC Cube PD chrání vaše zařízení. Ochrana před přepětím, přehřátím a zkratem. Bezpečí pro vaše cenné elektronické přístroje. Elegantní design pro váš prostor Moderní a kompaktní design AC Cube PD. Snadno zapadne do každého interiéru. Konec nepořádku z dlouhých kabelů. Proč volit AC Cube PD? Více možností: Čtyři AC výstupy a tři USB porty. Jednoduché řešení: Konec zmatků z kabelů a zásuvek. Bezpečnost na prvním místě: Integrovaná ochrana pro vaše zařízení. Objednejte si AC Cube PD ještě dnes! Technické specifikace: Model: VIKING AC CUBE PD AC 230V vstup: 230 - 250V, 16A, 50/60Hz, 4000W max. AC 230V výstup (4x): 231 - 250V, 16A, 50/60Hz, 4000W max. DC USB-A výstup (2x): 5V/3A; 9V/2A; 12V/1.5A DC USB-C výstup (1x): 5V/3A; 9V/2.22A; 12V/1.67A DC USB-A + USB-C výstup: 5V/3A Rozměry: 8 x 8 x 8.1 cm Hmotnost: 490 g Délka kabelu: 180 cm Ochrana: Proti zkratu, přepětí, přehřátím, nadproudu, přebití, jiskření

Objev podobné jako Viking síťový adaptér AC Cube PD

Nabíjecí baterie pro aku nářadí 8800, 8808, 8810, 9011955, 9011970, 901195501, ACCU 45, ACCU 60 Akumulátor Avacom je speciálně určený pro nůžky na plot, a to konkrétně Gardena 8800, 8808, 8810, 9011955, 9011970, 901195501, ACCU 45 a ACCU 60. Obsahuje vysoce kvalitní články Ni-MH AVACOM a disponuje kapacitou 1500 mAh. Na mínusovém pólů je faston šíře 4,8 mm, zatímco na plusovém 6,3 mm. Akumulátor Avacom umožní spolehlivý chod nůžek na plot. Klíčové vlastnosti náhradní baterie pro aku nářadí Avacom pro Gardena typ ACCU 60 Ni-MH 3,6V 1500 mAhAkumulátor určený pro nůžky na plotVhodný pro Gardena 8800, 8808, 8810, 9011955, 9011970, 901195501, ACCU 45 a ACCU 60Obsahuje vysoce kvalitní články Ni-MH AVACOMAkumulátor Avacom disponuje kapacitou 1500 mAh Kompatibilita:8800, 8808, 8810, 9011955, 9011970, 901195501, ACCU 45 a ACCU 60

Objev podobné jako Avacom pro Gardena typ ACCU 60 Ni-MH 3,6V 1500mAh (ATGA-AC60-15H)