x-culture learning projekt

Ice Watch Ice Learning XS 024498 jsou dětské hodinky navržené pro výuku času. Model disponuje přehledným ciferníkem a plastovým řemínkem. Hodinky jsou vhodné pro malé děti a začátečníky.

• Výukový design pro snadné pochopení času
• Odolný plastový řemínek vhodný pro děti
• Barevný a přehledný ciferník
• Malá velikost XS přizpůsobená dětskému zápěstí

Objev podobné jako Ice Watch Ice Learning XS 024498

Bezdrátový zvonek Solight se snadno instaluje do zásuvky s dosahem signálu až 180 metrů. Nabízí 36 melodií, 4 úrovně hlasitosti a světelnou LED signalizaci. Funkce Learning code umožňuje spárování více zařízení a tlačítko je vodotěsné s ochranou IP44.

• Snadná instalace bez vrtání – přijímač do zásuvky, tlačítko na dveře nebo zeď.
• Výběr z 36 melodií a 4 úrovní hlasitosti (25–90 dB) s velkým osvětleným LED rámečkem.
• Funkce Learning code umožňuje spárování až 8 tlačítek k jednomu zvonku nebo 15 zvonků k jednomu tlačítku.
• Vodotěsné tlačítko (IP44) s krytem na jmenovku a dosahem až 180 m na otevřeném prostranství.

Objev podobné jako Solight bezdrátový zvonek, do zásuvky, 180m, černý, learning code 1L76B

Hudební CD - Pod názvem Roman Dragoun Projekt vychází 2CD této rockové legendy k Romanovým pětašedesátinám. Představuje 19 autorských skladeb Romana Dragouna. Pod názvem Roman Dragoun Projekt vychází 2CD této rockové legendy k Romanovým pětašedesátinám. Představuje 19 autorských skladeb Romana Dragouna. Unikátní projekt, který původně vznikl jako koncertní a sklidil obrovský úspěch, se konečně dočkal studiové nahrávky. Roman Dragoun spolu s B-Side Bandem bandleadra Josefa Buchty, Komorním orchestrem Brno, Czech Ensemble Baroque Choir a dirigentem Danem Kalouskem uvedl poprvé projekt v této sestavě v rámci festivalu Groove Brno v roce 2017. Zpěvák, klávesista a skladatel Roman Dragoun patří k nezpochybnitelným osobnostem české rockové scény. Působil v kapelách Futurum, Progres 2 (z tohoto období pochází i skladba Muž, který se podobá odvrácené straně Měsíce, která se stala rockovou písní roku 1982), Stromboli, s níž vydal v roce 1989 album Shutdown, T4 a řadě...

Objev podobné jako Dragoun Roman: Roman Dragoun Projekt (2x CD) - CD (8594030603154)

Vtech hodinky s aplikací Learning Lodge
Ice Watch Ice Learning XS 024498 hodinky pro děti
Ice Learning XS dětské hodinky s výukou času
Ice Watch Ice Learning XS modely pro školáky
Ice Learning XS hodinky s barevným ciferníkem
Ice Watch Ice Learning XS 024498 pro začátečníky
Ice Learning XS 024498 výukové hodinky pro děti

DVD film Projekt X [2012]. Český dabing. České titulky. Dolby Digital. Nevinný plán na party se zvrtne v epický chaos. Když se zpráva rozšíří, nic nezůstane, jak bylo. Zrodí se legenda, kterou nikdo nezapomene. Projekt X sleduje tři zdánlivě nenápadné studenty 4. ročníku, kteří se snaží zviditelnit před svým odchodem z vysoké školy. Jejich myšlenka byla zcela nevinná – uspořádat večírek, na který nikdy nikdo nezapomene. Ale na to, co je čekalo, nebyl připraven nikdo. Zprávy se šíří rychle, sny jsou v troskách, pověst poskvrněna a na konci všeho se zrodí legendy.Bonusy:Projekt X: Pasadena 3

Objev podobné jako Projekt X (DVD)

Audiokniha: Audiokniha Projekt Dítě přináší osm různých příběhů o párech, jejichž cesta k rodičovství byla nějakým způsobem dramatičtější, než bývá obvyklé. Ano, všichni se v určité chvíli ocitli na některé z českých reprodukčních klinik. Kniha však není návodem, jak tímto procesem projít snadno, rychle a s jistým výsledkem, tedy dítětem. Prostřednictvím příběhů lidí, kteří mají tuto cestu za sebou, máme možnost poznat, za co zaplatili mnohdy vysokou cenu. A nemyslíme tím jen peníze. Ukazuje se, že cesta za dítětem může být klikatá, plná ztrát, bolesti, ale i lásky, pochopení, radosti a někdy i zázraků. Příběhy osmi párů, kterým reprodukční medicína změnila život. ... Pochopila jsem, že startovací čáru pro otěhotnění měla Marcela mimo běžecký okruh. Jak chtěla utíkat, a ještě zvítězit v závodě o miminko? On to totiž v jejím případě závod byl. Nejen s jejím zdravím, ale i s časem. Nějaké zmrazení vajíček nemělo příliš smysl. Na tom se také s Filipem hned dohodli. A jakmile se vyléčila ze zánětu ledvin, objednali se na jednu soukromou reprodukční kliniku v Praze. Prošli základními vyšetřeními a odběry. A informovali lékaře o tom, jaká zdravotní omezení Marcela má. „Lékaři na klinice na moje problémy reagovali v klidu. Říkali nám, ať se nebojíme, ... Unknown localization key: "more"

Objev podobné jako Projekt Dítě - Kateřina Krobová, Kateřina Hrochová - audiokniha

In just a few years, deep reinforcement learning (DRL) systems such as DeepMinds DQN have yielded remarkable results. This hybrid approach to machine learning shares many similarities with human learning: its unsupervised self-learning, self-discovery of strategies, usage of memory, balance of exploration and exploitation, and its exceptional flexibility. Exciting in its own right, DRL may presage even more remarkable advances in general artificial intelligence. Deep Reinforcement Learning in Python: A Hands-On Introduction is the fastest and most accessible way to get started with DRL. The authors teach through practical hands-on examples presented with their advanced OpenAI Lab framework. While providing a solid theoretical overview, they emphasize building intuition for the theory, rather than a deep mathematical treatment of results. Coverage includes: Components of an RL system, including environment and agents Value-based algorithms: SARSA, Q-learning and extensions, offline learning Policy-based algorithms: REINFORCE and extensions; comparisons with value-based techniques Combined methods: Actor-Critic and extensions; scalability through async methods Agent evaluation Advanced and experimental techniques, and more How to achieve breakthrough machine learning performance by combining deep neural networks with reinforcement learning Reduces the learning curve by relying on the authors’ OpenAI Lab framework: requires less upfront theory, math, and programming expertise Provides ... Unknown localization key: "more"

Objev podobné jako Foundations of Deep Reinforcement Learning - Laura Graesser, Wah Loon Keng

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 ... Unknown localization key: "more"

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

Learning and Behavior reviews how people and animals learn and how their behaviors are changed because of learning. It describes the most important principles, theories, controversies, and experiments that pertain to learning and behavior that are applicable to diverse species and different learning situations. Both classic studies and recent trends and developments are explored, providing a comprehensive survey of the field. Although the behavioral approach is emphasized, many cognitive theories are covered as well, along with a chapter on comparative cognition. Real-world examples and analogies make the concepts and theories more concrete and relevant to students. In addition, most chapters provide examples of how the principles covered have been employed in applied and clinical behavior analysis. The text proceeds from the simple to the complex. The initial chapters introduce the behavioral, cognitive, and neurophysiological approaches to learning. Later chapters give extensive coverage of classical conditioning and operant conditioning, beginning with basic concepts and findings and moving to theoretical questions and current issues. Other chapters examine the topics of reinforcement schedules, avoidance and punishment, stimulus control and concept learning, observational learning and motor skills, comparative cognition, and choice. Thoroughly updated, each chapter features many new studies and references that reflect recent ... Unknown localization key: "more"

Objev podobné jako Learning and Behavior - Amy L. Odum, James E. Mazur

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 ... Unknown localization key: "more"

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

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 ... Unknown localization key: "more"

Objev podobné jako Grokking Deep Reinforcement Learning - Miguel Morales

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 ... Unknown localization key: "more"

Objev podobné jako Grokking Machine Learning - Luis Serrano

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 ... Unknown localization key: "more"

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

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 ... Unknown localization key: "more"

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

This tenth anniversary edition of Knud Illeris’s classic 2008 text is an updated and definitive collection of today’s most influential learning theorists, now containing additional chapters from John Hattie and Gregory Donoghue, Sharan Merriam, Gert Biesta and Carolyn Jackson. This book brings together world-renowned experts, who each present their understanding of what learning is and how human learning takes place, addressing the social, psychological and emotional contexts of learning. In this clear and coherent overview, Professor Knud Illeris has collated chapters that explain both the complex frameworks in which learning takes place and the specific facets of learning. Each international expert provides either a seminal text or an entirely new précis of the conceptual framework they have developed over a lifetime of study, such as adult learning theory, learning strategies, and the cultural and social nature of learning processes.Elucidating the key concepts of learning, Contemporary Theories of Learning provides both the perfect desk reference and an ideal introduction for students; it is an invaluable resource for all researchers and academics involved in the study of learning, and provides a detailed synthesis of current learning theories… all in the words of the theorists themselves.

Objev podobné jako Contemporary Theories of Learning

Since its first edition, An Introduction to Theories of Learning has provided a uniquely sweeping review of the major learning theories from the 20th century that profoundly influenced the field of psychology. In this tenth edition, the authors present further experimental evidence that tests many of the fundamental ideas presented in these classic theories, as well as explore many of the advances in psychological science and neuroscience that have yielded greater insight into the processes that underlie learning in human beings and animals. The four main goals of this text are to define learning and to show how the learning process is studied (Chapters 1 and 2), to place learning theory in historical perspective (Chapter 3), and to present essential features of the major theories of learning with implications for educational practices (Chapters 4 through 16). The authors retained the best features of earlier editions while making revisions that reflect current research and scholarship, including coverage of active learning and the testing effect, information for problem solving in ravens, data illustrating the neurobiological basis of the cognitive map and spatial learning, new research on brain plasticity and its role in learning as well as the impact of poverty on brain ... Unknown localization key: "more"

Objev podobné jako An Introduction to Theories of Learning - Julio J. Ramirez, Matthew H. Olson

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. ... Unknown localization key: "more"

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

Looking for Learning: Provocations is a full-colour, practical guide to inspire child-led learning that''s linked to current policy and the EYFS framework.As each child progresses through their learning journey, Early Years practitioners are expected to identify and understand what learning is taking place in every activity that a child is involved in. Laura England, creator of Little Miss Early Years, uses her wealth of experience as an Early Years teacher to explore the learning that takes place when a child''s play has been inspired by a provocation, including mirrors to investigate symmetry, cardboard boxes to understand shapes, and sticks and pebbles to construct their own designs.Provocations invite learning, interest and creativity as they allow children to explore, think and use their imaginations. This dip-in-and-out book is linked to the Characteristics of Effective Learning and presents case studies, real-life images and practical pointers to explore their use.With tips for setting up the environment to the adult''s role in this child-led play, Looking for Learning: Provocations is ideal for all Early Years practitioners searching for accessible ideas for using provocations in their settings.Looking for Learning books are the number one tool for identifying learning opportunities in child-led play. All four books are ... Unknown localization key: "more"

Objev podobné jako Looking for Learning: Provocations - Laura England

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 ... Unknown localization key: "more"

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

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 ... Unknown localization key: "more"

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

Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir''s Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you''ll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more.The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you''ll be using them and much more to solve real-world problems in no time.Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you''re used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of ... Unknown localization key: "more"

Objev podobné jako Machine Learning in Elixir - Sean Moriarity

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 ... Unknown localization key: "more"

Objev podobné jako Learning Deep Learning - Magnus Ekman

Looking for Learning: Loose Parts won "Highly Commended" in the Creative Play Awards 2019 for Teaching Resources.Looks for Learning: Loose Parts is a full-colour, practical guide to inspire child-led learning that''s linked to to current policy and the EYFS framework. As each child progresses through their learning journey, Early Years practitioners are expected to identify and understand what learning is taking place in every activity that a child is involved in. Laura England, creator of Little Miss Early Years, uses her wealth of experience as an Early Years teacher to explore the learning that takes place when a child is tinkering with loose parts, including tinker trays filled with nuts and bolts, pompoms and play dough to combine, construct and investigate with.Loose parts are natural or synthetic materials and resources that have no pre-planned use; they can be moved, combined with other resources, lined up, deconstructed and constructed again. They can capture a child''s imagination, curiosity and creativity as they play with and manipulate them. This dip-in-and-out book is linked to the Characteristics of Effective Learning and presents case studies, real-life images and practical pointers to explore their use.With tips for setting up the environment to the adult''s role in ... Unknown localization key: "more"

Objev podobné jako Looking for Learning: Loose Parts - Laura England

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 ... Unknown localization key: "more"

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 ... Unknown localization key: "more"

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 ... Unknown localization key: "more"

Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov

“Biggs and Tang, now with Kennedy, have ensured this new edition remains an international leader for university teaching for the next decade.”Denise Chalmers AM, Emeritus Professor, University of Western Australia, Australia“This book, a fifth edition, can truly be called a “classic” on the topic of teaching, learning and curriculum design in higher education.”Michael Prosser, Honorary Professorial Fellow, Centre for the Study of Higher Education, University of Melbourne, Australia“You should be inspired to increase the quality of your teaching, your learning, and your learning about teaching.”John R. Kirby, Professor Emeritus of Educational Psychology, Queen’s University, CanadaThe concept of constructive alignment has supported generations of students and teachers within higher education. It is a ‘backward design’ method of teaching where the student outcomes are identified first and the teacher then designs teaching activities to enable students to achieve those outcomes, assessing how well they have been achieved. Each chapter outlines how to design the learning outcomes, teaching and assessments for success in learning. This updated edition of Teaching for Quality Learning at University: • Provides a comprehensive, research-based theory of teaching for teacher reflection • Outlines how educational technology can be used in constructively aligned teaching • Helps staff developers to provide ... Unknown localization key: "more"

Objev podobné jako Teaching for Quality Learning at University 5e - Catherine Tang, John Biggs, Gregor Kennedy

The widely used STEM education book, updated Teaching and Learning STEM: A Practical Guide covers teaching and learning issues unique to teaching in the science, technology, engineering, and math (STEM) disciplines. Secondary and postsecondary instructors in STEM areas need to master specific skills, such as teaching problem-solving, which are not regularly addressed in other teaching and learning books. This book fills the gap, addressing, topics like learning objectives, course design, choosing a text, effective instruction, active learning, teaching with technology, and assessment—all from a STEM perspective. You’ll also gain the knowledge to implement learner-centered instruction, which has been shown to improve learning outcomes across disciplines. For this edition, chapters have been updated to reflect recent cognitive science and empirical educational research findings that inform STEM pedagogy. You’ll also find a new section on actively engaging students in synchronous and asynchronous online courses, and content has been substantially revised to reflect recent developments in instructional technology and online course development and delivery. Plan and deliver lessons that actively engage students—in person or onlineAssess students’ progress and help ensure retention of all concepts learnedHelp students develop skills in problem-solving, self-directed learning, critical thinking, teamwork, and communicationMeet the learning needs of STEM students ... Unknown localization key: "more"

Objev podobné jako Teaching and Learning STEM - Richard M. Felder, Rebecca Brent

Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of ... Unknown localization key: "more"

Objev podobné jako Machine Learning for Business Analytics

Quality Learning for Positive Ageing explores the views of older adult learners to understand the factors that contribute to ‘quality’ in later-life learning and how these relate to wellbeing, positive ageing, and gaining protection against cognitive decline.Through capturing and considering the viewpoints of learners, facilitators and learning organisations, the author outlines the specific characteristics of quality that they associate with informal learning and how it can be enhanced through the adoption of simple strategies. Key topics covered include the implications of an increasing ageing population and barriers to older people learning as well as the cognitive, mental wellbeing, health, and social benefits of learning in later life. Illustrated throughout with vignettes of real later-life learners, this thought-provoking text unpicks how learners can maximise the benefits of learning in later life for themselves, how tutors can create learning opportunities that embody the characteristics of quality for them, and how providers can offer an environment that simply allows quality learning to flourish.This accessible and comprehensive text will be of great interest to researchers of gerontology and ageing, educational gerontology, adult education, and lifelong learning as well as those engaged in dementia research.

Objev podobné jako Quality Learning for Positive Ageing - Alan Potter

Your blueprint for empowering students through personalized learning In today’s technologically-integrated world, blended learning is a natural fit for the elementary classroom, where many teachers already think flexibly about the learning environment, resources, and time in order to meet diverse student needs. As blended elementary classrooms become more common, teachers and administrators must develop a shared understanding of the characteristics of effective instruction in blended environments. This guide is designed to help K-5 teachers develop and carry out a plan for effective instruction in blended environments. Presented in a step-by-step workbook format, this resource identifies the competencies blended teachers need and strategies for development, culminating in a personalized implementation plan for successful blended instruction. Readers will Take an in-depth look at the iNACOL Blended Learning Teacher Competency Framework, to foster a deeper understanding of the teacher proficiencies needed for effective blended learning environments. Identify your own strengths and needs related to the blended teacher competencies. Develop a personalized blueprint for designing and facilitating blended learning in your classrooms. Tailor your needs and goals when it comes to maximizing instructional time, personalizing learning, empowering students, pursuing professional learning, and more. Explore specific strategies and examples of blended learning in elementary classrooms, ... Unknown localization key: "more"

Objev podobné jako The Blended Learning Blueprint for Elementary Teachers - Jayme Linton

DVD film Tajný projekt [2011]. Český dabing. České titulky. Dolby Digital. Hrají: Kevin Sorbo. Vojenské komando pátrá po zmizelých vědcích a čelí smrtícímu robotickému supervojákovi v nebezpečné krajině. Musíme to zabít - nebo to zabije nás. Ale proti čemu to vlastně bojujeme? V přísně střeženém vojenském zařízení, které „oficiálně neexistuje“, provádí skupina vědců testy nové tajné zbraně. Projekt má za cíl stvořit robotického supervojáka, napůl stroj, napůl člověka, který necítí lítost ani bolest a jeho jediným posláním je zabíjet. Když osazenstvo laboratoře beze stopy zmizí, je do oblasti vysláno elitní komando vedené poručíkem Tylerem (Kevin Sorbo). Na místě výsadku však tito otrlí váleční veteráni nacházejí už jen bezvládná těla lidí, kteří zjevně umírali bolestivou smrtí. Při jejich pátrání v krajině plné zrádných močálů je z korun stromů neustále sledují robotické oči krvežíznivého monstra.

Objev podobné jako Tajný projekt (DVD)

Elektronická kniha - ze série Projekt Kronos, autor Pavel Bareš, 568 stran, česky V knize Projekt Kronos se dozvíte, že být hrdinou není ve skutečnosti ani zdaleka takové, jak se o tom píše v komiksech… Píše se rok 2052 a to málo, co po válce ze světa zbylo, halí šero nukleární zimy. Attiona City, jednu z posledních výsep lidské civilizace, zevnitř požírá záhadná epidemie a společenské rozkoly. Zatímco prominentní občané v horní části města se vzpamatovávají z válečných hrůz, méně šťastní obyvatelé spodního Downtownu je stále prožívají. Drogový byznys jen kvete, ulicím vládnou konkurenční gangy a zoufalí Downtowneři se ocitají v čím dál větší izolaci. To vše jsou ale jen první výstřely do tmy předznamenávající občanskou válku.Mladý Downtowner Jason Blake vždycky toužil být hrdinou. A teď se mu — k jeho smůle — tohle přání beze zbytku vyplní. Naproti tomu Luco Scarpa nikdy nechtěl nic jiného než prožít svůj život v klidu a...

Objev podobné jako Projekt Kronos (978-80-757-7055-4)

Přehrada: Projekt Leeghwater – rozšíření pro strategickou euro hruBoj o kontrolu nad vodní silou se přiostřuje! Rozšíření Projekt Leeghwater přináší do světa Přehrady novou frakci z Nizozemí, výkonné inženýry a inovativní stavební možnosti. Tato expanze je ideální pro hráče, kteří si základní hru oblíbili a chtějí ji obohatit o nové taktiky a hlubší strategii. Připravte se na silnější produkci, nové smlouvy i výhody soukromých staveb!Co nového přináší Nizozemská společnost a Ellen Vos – využijte čerpadla Leeghwatera a z každé produkce získejte víc. Externí kontrakty – nové typy smluv, které nevyžadují energii, ale stroje. Nabízí odměny jako zdarma stavby či vítězné body. Soukromé stavby – nové typy budov s vlastními akcemi, které neumisťujete na mapu, ale na novou desku managementu. Noví výkonní ředitelé – čtyři nové postavy s unikátními schopnostmi pro větší variabilitu strategie. Nové technologie a bonusové destičky – více možností jak zefektivnit svou výrobu a získat body. Proč si ho zamilujete Rozšíření přidává nové herní prvky bez narušení původního konceptu. Větší variabilita strategií – více cest k vítězství. Soukromé stavby mění dynamiku plánování akcí. Vysoká znovuhratelnost díky náhodným kombinacím kontraktů a staveb. Obsah balení 1 deska společnosti (Nizozemsko) + 1 rozšíření desky 1 dodatečná deska managementu 15 destiček externích ... Unknown localization key: "more"

Objev podobné jako Přehrada: Projekt Leeghwater (rozšíření) - Simone Luciani, Battista Tommaso

Projekt A.R.T.: Zachraňte umění – kooperativní hon na ztracené pokladyStaňte se součástí týmu ART RESCUE TEAM a vydejte se na misi za záchranou nejcennějších uměleckých děl světa! V napínavé kooperativní hře Projekt A.R.T. spojíte síly, abyste získali zpět ukradené artefakty a porazili organizaci „Bílá ruka“, která se je snaží skrýt po celém světě.Jak se hraje Každý hráč si vezme postavu specialisty se specifickými schopnostmi. Společně plánujete tahy, správu zdrojů a pořadí akcí – hrajete proti hře, ne proti sobě. Hráči si každé kolo líznou dvě mise, zvolí jednu a zahrají ji skrytě – společné rozhodování je klíčové. Na mapě bojujete o lokace, hledáte stopy a snažíte se zachránit 7 uměleckých děl dříve, než dojde balíček karet nebo někdo zemře. Hru ztěžují agenti Bílé ruky, kteří se šíří mapou – pokud ovládnou příliš mnoho míst, tým prohrává. Proč si ji zamilujete Skvělá kooperativní atmosféra – každý tah musíte společně promyslet a efektivně využít omezené zdroje. Různorodé mapy – každá lokace (např. Skandinávie, Japonsko, Rio) má svá pravidla a výzvy. Napětí až do poslední chvíle – záchrana artefaktů je časově i strategicky náročná. Hra obsahuje i sólový mód pro jednoho hráče. Obsah balení 6 map světa 72 karet mise 6 karet postav ... Unknown localization key: "more"

Objev podobné jako Projekt A.R.T.: Zachraňte umění

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 ... Unknown localization key: "more"

Objev podobné jako Visible Learning for Teachers - John Hattie

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

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 ... Unknown localization key: "more"

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 ... Unknown localization key: "more"

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

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

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.

Objev podobné jako The Science of Deep Learning - Iddo Drori

Radical in its implications, this original and important work may change forever the views we hold about the nature of learning. In The Power of Mindful Learning, Ellen Langer uses her innovative theory of mindulness, introduced in her influential earlier book, to dramatically enhance the way we learn. In business, sports, laboratories, or at home, our learning is hobbled by certain antiquated and pervasive misconceptions. In this pithy, liberating, and delightful book she gives us a fresh, new view of learning in the broadest sense. Such familiar notions as delayed gratification, ”the basics”, or even ”right answers”, are all incapacitating myths which Langer explodes one by one. She replaces them with her concept of mindful or conditional learning which she demonstrates, with fascinating examples from her research, to be extraordinarily effective. Mindful learning takes place with an awareness of context and of the ever-changing nature of information. Learning without this awareness, as Langer shows convincingly, has severely limited uses and often sets on up for failure.With stunning applications to skills as diverse as paying attention, CPR, investment analysis, psychotherapy, or playing a musical instrument, The Power of Mindful Learning is for all who are curious and intellectually adventurous.

Objev podobné jako The Power of Mindful Learning - Ellen Langer

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 ... Unknown localization key: "more"

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

Make learning visible in the early years   Early childhood is a uniquely sensitive time, when young learners are rapidly developing across multiple domains, including language and literacy, mathematics, and motor skills. Knowing which teaching strategies work best and when can have a significant impact on a child’s development and future success. Visible Learning in Early Childhood investigates the critical years between ages 3 and 6 and, backed by evidence from the Visible Learning® research, explores seven core strategies for learning success: working together as evaluators, setting high expectations, measuring learning with explicit success criteria, establishing developmentally appropriate levels of learning, viewing mistakes as opportunities, continually seeking feedback, and balancing surface, deep, and transfer learning. The authors unpack the symbiotic relationship between these seven tenets through Authentic examples of diverse learners and settings Voices of master teachers from the US, UK, and Australia Multiple assessment and differentiation strategies Multidisciplinary approaches depicting mathematics, literacy, art and music, social-emotional learning, and more Using the Visible Learning research, teachers partner with children to encourage high expectations, developmentally appropriate practices, the right level of challenge, and a focus on explicit success criteria. Get started today and watch your young learners thrive!

Objev podobné jako Visible Learning in Early Childhood - John Hattie, John T. Almarode, Kateri Thunder

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 ... Unknown localization key: "more"

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

Audiokniha: Není to průměrný muž. Jeho problémy jsou jedinečné a řeší je ještě výjimečněji…Jsou svoji už deset měsíců a deset dní, takže mít dítě by asi nebyla taková věda. Jenže jejich rodičovství začalo nevyzpytatelnou náhodou zase úplně jinak, než kdyby ho profesor genetiky Don Tillman metodicky promyslel i s ohledem na to, že teď tvoří polovinou páru. V New Yorku, kam se novomanželé přestěhovali, aby bádali na Kolumbijské univerzitě, probíhá navíc Rosiino těhotenství bez podpory australských příbuzných velice dobrodružně. Nastávající otec se do nového projektu opět vložil s veškerou vervou, což vzhledem k jeho poruše budí zdání jedné blázniviny za druhou. A nejde jenom o lpění na těhotenských přikázáních či o schémata na dlaždičkách koupelny, na něž si s důsledností sobě vlastní průběh „jiného stavu“ rozkreslil.Coby osoba extrémně důvěřivá reaguje Don vždy stoprocentně upřímně, protože neumí používat finty, humor ani takt. I empatie mu bylo dopřáno pouze stopové množství, zato vyniká nebetyčným potenciálem se zlepšovat. Štěstí sympatického aspergera s výjimečným IQ je totiž v tom, že nikdy nedělá nic napůl, věří v lásku vroucněji než většina z nás a spáchal by v jejím jménu cokoli. I kdyby to znamenalo zatčení kvůli pozorování batolat na hřišti, psychoterapii, na kterou je pak ... Unknown localization key: "more"

Objev podobné jako Projekt potomek - Graeme Simsion - audiokniha

Machine learning can help managers make better predictions, automate complex tasks and improve business operations. Managers who are familiar with machine learning are better placed to navigate the increasingly digital world we live in. There is a view that machine learning is a highly technical subject that can only be understood by specialists. However, many of the ideas that underpin machine learning are straightforward and accessible to anyone with a bit of curiosity. This book is for managers who want to understand what machine learning is about, but who lack a technical background in computer science, statistics or math. The book describes in plain language what machine learning is and how it works. In addition, it explains how to manage machine learning projects within an organization. This book should appeal to anyone that wants to learn more about using machine learning to drive value in real-world organizations.

Objev podobné jako Machine Learning for Managers - Paul Geertsema

Comprehensively explains animal learning theories and current best practices in animal training within zoos This accessible, up-to-date book on animal training in a zoo/aquaria context provides a unified approach to zoo animal learning, bringing together the art and science of animal training. Written by experts in academia and working zoos, it incorporates the latest information from the scientific community along with current best practice, demystifying the complexities of training zoo animals. In doing so, it teaches readers how to effectively train animals and to fully understand the consequences of their actions. Zoo Animal Learning and Training starts with an overview of animal learning theory. It describes the main categories of animal learning styles; considers the diverse natural history of zoo animals; reviews the research undertaken which demonstrates ultimate benefits of learning; and highlights the advantages and disadvantages of the different approaches. It also shows how the direct application of learning theory can be integrated into zoo animal management; discusses how other factors might affect development; and investigates situations and activities from which animals learn. It also explores the theoretical basis that determines whether enrichments are successful. Provides an easily accessibly, jargon-free introduction to the subjectExplores different training styles, providing theoretical ... Unknown localization key: "more"

Objev podobné jako Zoo Animal Learning and Training

Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you''ll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.

Objev podobné jako Ensemble Methods for Machine Learning - Gautam Kunapuli