deep learning joanne quinn michael fullan joanne j mceachen

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

It s common wisdom that successful organizations adjust quickly and intelligently to shifts in consumer tastes, political climate, and economic opportunity. Less understood is how they do it. In The Six Secrets of Change, Michael Fullan lays out key factors that allow an organization to sustain meaningful change.

Objev podobné jako The Six Secrets of Change - Michael Fullan

Exam Board: CCEALevel: GCSESubject: Learning for LifeFirst Teaching: September 2017First Exam: June 2019Enable students to critically engage with the new content and assessment requirements with this fully updated edition of the market-leading Student''s Book for CCEA GCSE Learning for Life and Work- Provides complete coverage of the new content and assessment requirements with support at every stage from experienced teachers and subject experts David McVeigh, Michaella McAllister and Amanda McAleer- Prepares students for assessment with skills-building activities, practice questions and structured guidance on how to approach questions successfully- Helps engage students through accessible diagrams, research activities and a bank of up-to-date case study material- Develops subject knowledge through clear and detailed coverage of the key content structured around the specification

Objev podobné jako CCEA GCSE Learning for Life and Work Second Edition - Amanda McAleer, Michaella McAllister, Joanne McDonnell

When numbers become people, learners thrive Waves of data—indigestible, dehumanized, and disaggregated—are crashing into the education system every day, driving you to distraction. But imagine a world where you’re not being drowned by data, but inspired by it; where that data has a FACE and gives you focused information on how to reach every student. Sharratt and Fullan turn worldwide research into a road map for school leaders to use ongoing assessment to inform instruction and drive equity at the classroom, school, district, and state levels. Inside you will find A fresh look at data to incorporate new learning Updated case studies, figures, and vignettes Insights from more than 500 educators in answering the 3 research questions: Why do we put FACES on data? How do we put FACES on data? and What are the top three leadership skills needed to do this work? An integrated approach to using the 14 Parameters to enhance Deep Learning and critical thinking Tools for committing to "equity and excellence" FACES is about setting up the conditions for success in every classroom: identifying the right factors, at the right time, with the right resources. Its focus on student-centered data will help you: Increase learners’ growth and achievement improve engagement that results in students, teacher and leader empowerment build cultures of learning drive a learning environment of continuous improvement

Objev podobné jako Putting FACES on the Data - Lyn D. Sharratt, Michael Fullan

"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

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

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

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

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

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

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

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

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

The new edition of the best-selling guide for powerful, morally-grounded change leadership in any organization. Change is an inevitable, essential part of the modern world. Change prevents stagnation, fosters creative solutions, and propels innovation. With change comes challenges: to survive and prosper, organizations need to adapt to shifting market dynamics, volatility in the public arena, disruptions brought on by new technologies, and many more. Leaders need to understand the dynamics of change to cope with the complexities of the change process. Leading in a Culture of Change describes the key dimensions of leadership that are crucial in times of change. This innovative guide helps readers master the five components of change leadership—moral purpose, understanding change, building relationships, creating and sharing knowledge, and creating coherence—and mobilize others to accomplish shared goals in often difficult conditions. Extensively revised and updated throughout, this market-leading book continues to help leaders from across sectors understand the dynamics of change and navigate the end-to-end change process. The second edition is now thoroughly grounded in the various forms and interpretations of successful change and includes more precise definitions of the core competencies of change, contemporary case studies of their development and practical application, and increased guidance on their effective use through new concrete examples. Combining knowledge from the worlds of education and business, this unique book will help you: Integrate proven, time-tested methods of education reform and the most current insights in leadership and organizational changeDevelop and implement positive, sustained systematic change strategies in any organizationIncrease performance, optimize learning, and improve leadershipUnderstand the key principles of leading change through specific, real-world examplesEmbrace a morally-grounded process of effective organizational change Leading in a Culture of Change is an indispensable source of information for leaders in business, non-profit, and public sectors seeking to understand, influence, and lead the change process.

Objev podobné jako Leading in a Culture of Change - Michael Fullan

Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning for Biology gives you the tools to develop deep learning models for tackling a wide range of biological problems.

Objev podobné jako Deep Learning for Biology - Charles Ravarani, Natasha Latysheva

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch

Objev podobné jako Generative Deep Learning - David Foster

Elektronická kniha - autor François Chollet, 328 stran, česky Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok od téměř nepoužitelného rozpoznávání řeči a obrazu k nadlidské přesnosti. Od programů, které nedokázaly porazit jen trochu zkušenějšího hráče go, jsme dospěli k přemožiteli mistra světa. Za pokrokem ve vývoji učících se programů stojí tzv. hluboké učení (deep learning) ndash; kombinace technických vylepšení, osvědčených postupů a teorií, které umožnily vyvinout množství dříve nerealizovatelných inteligentních aplikací. S jejich pomocí pak můžeme například analyzovat text či mluvené slovo, překládat z jazyka do jazyka, rozpoznávat osoby na sociálních sítích nebo používat samořídící automobily. Tato kniha naučí čtenáře navrhovat hluboce se učící systémy v jazyku Python, který je v současnosti nejpoužívanějším programovacím jazykem pro vývoj těchto systémů, a knihovny Keras a TensorFlow používané většinou vítězů soutěží systémů pro...

Objev podobné jako Deep learning v jazyku Python (978-80-247-3100-1)

Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok a dospělo od téměř nepoužitelného rozpoznávání řeči a obrazu k téměř nadlidské přesnosti, od programů, které nedokázaly porazit jen trochu zkušenějšího hráče šachu, až k přemožitelům mistrů světa.Za pokrokem ve vývoji učících se programů stojí tzv. hluboké učení (deep learning), což je kombinace teorií a osvědčených technických postupů, které umožnily vyvinout řadu dříve nerealizovatelných aplikací. S jejich pomocí můžeme analyzovat a syntetizovat text i mluvené slovo, překládat z jazyka do jazyka, rozpoznávat osoby nebo ovládat samořídící automobily.Kniha naučí čtenáře, jehož znalosti jazyka Python jsou na střední úrovni, navrhovat v tomto jazyku hluboce se učící systémy s pomocí knihoven Keras a TensorFlow, které používá většina autorů vítězných systémů ze soutěží v hlubokém učení. Výklad je založený na intuitivních vysvětleních a praktických příkladech. Náročné koncepty si procvičíte na aplikacích v oblasti počítačového vidění, zpracování přirozeného jazyka a generativních modelů. Získáte tak znalosti a praktické dovednosti, které vám umožní aplikovat hluboké učení ve vlastních projektech.Autorem knihy je François Chollet, tvůrce knihovny Keras a výzkumník v oblasti umělé inteligence společnosti Google. Výklad základních principů hlubokého učení i pokročilých dovedností Tvorba systému hlubokého učení pro počítačové vidění, časové řady, text i generování vlastních výtvorů (například obrázků) Způsob fungování moderních AI systémů typu ChatGPT Popis rozdílů při spouštění programů na CPU, GPU a FPU Práce s webovým prostředím Collaboration, které umožňuje používat GPU a FPU na serveru

Objev podobné jako Deep learning v jazyku Python - 2., rozšířené vydání - François Chollet

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

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

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

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

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

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

Rembrandt van Rijn (1606-69) transcends any period or social milieu: he is one of the world’s great masters and though his works reflect the confidence of newly independent Holland, his vision extends far beyond these narrow confines. A deeply perceptive artist (his many self-portraits show his continued interest in the study of human nature), he sought to go beyond superficialities, to endow his biblical paintings, historical narratives, genre scenes and portraits with psychological depths hitherto unknown in Dutch painting. Impatient with conventionally stiffly posed group portraits, he produced such masterpieces as The Night Watch, The Anatomy Lesson of Dr Tulp and the Staal Meesters, while his studies of Saskia, his wife, and his mistress Hendrickje Stoffels reveal his deeply sensuous, compassionate nature.Michael Kitson has revised his highly successful book in the light of the most recent scholarship on Rembrandt, making this the ideal survey of the career of a much-loved genius.

Objev podobné jako Rembrandt - Michael Kitson

Jeremy Bentham – philosopher, theorist of law and of the art of government – was among the most influential figures of the early nineteenth century, and the approach he pioneered – utilitarianism – remains central to the modern world. In this new introduction to his ideas, Michael Quinn shows how Bentham sought to be an engineer or architect of choices and to illuminate the methods of influencing human conduct to good ends, by focusing on how people react to the various physical, legal, institutional, normative and cultural factors that confront them as decision-makers. Quinn examines how Bentham adopted utility as the critical standard for the development and evaluation of government and public policy, and explains how he sought to apply this principle to a range of areas, from penal law to democratic reform, before concluding with an assessment of his contemporary relevance. He argues that Bentham simultaneously sought both to facilitate the implementation of governmental will and to expose misrule by rendering all exercises of public power transparent to the public on whose behalf it was exercised. This book will be essential reading for any student or scholar of Bentham, as well as those interested in the history of political thought, philosophy, politics, ethics and utilitarianism.

Objev podobné jako Bentham - Michael Quinn

Body Learning has been a steady bestseller since it was first published in 1981. This edition confirms its status as the classic work on the Alexander Technique. The Alexander Technique is now recognized the world over as the most revolutionary and far-reaching method ever developed for maintaining the coordination and efficiency of the human body. It is not only a means of putting us in touch with our bodies, but also a way of deepening our perceptions and general well-being. Its effects on all aspects of living and learning are profound. Body Learning provides a simple, clear answer to the question: "What is The Alexander Technique and how can it help me?" Michael J. Gelb provides inspiration and guidance to newcomers to the technique and conveys a full understanding of the complex mental and physical dynamics involved. “The approach to learning and the techniques outlined in Body Learning transformed my life. Read and practice, and Michael Gelb’s profound message will transform yours.” Tony Buzan, author of The Mind Map Book Michael J. Gelb qualified as a teacher of the Alexander Technique in 1978. Shortly thereafter he began applying the Alexander work to help corporate clients cultivate mindfulness, improve public speaking skills, and develop executive presence. He continues this work as part of his Executive Leadership Coaching practice. He is also the author of 16 other books including including the international bestseller How to Think Like Leonardo da Vinci: Seven Steps to Genius Everyday.

Objev podobné jako Body Learning - Michael J. Gelb

Batoh z kolekce MICHAEL Michael Kors. Model vyroben z ekologické kůže.

Objev podobné jako Batoh MICHAEL Michael Kors QUINN

Batoh z kolekce MICHAEL Michael Kors. Model vyroben z přírodní kůže.

Objev podobné jako Kožený batoh MICHAEL Michael Kors QUINN

Velká kabelka z kolekce MICHAEL Michael Kors. Model se zapínáním, vyroben z přírodní kůže.

Objev podobné jako Kožená kabelka MICHAEL Michael Kors QUINN

Exam board: CCEALevel: GCSESubject: CitizenshipFirst teaching: September 2017First exams: Summer 2019Target success in CCEA GCSE Learning for Life and Work with this proven formula for effective, structured revision; key content coverage is combined with exam-style tasks and practical tips to create a revision guide that students can rely on to review, strengthen and test their knowledge.With My Revision Notes, every student can:- Plan and manage a successful revision programme using the topic-by-topic planner- Consolidate subject knowledge by working through clear and focused content coverage- Test understanding and identify areas for improvement with regular ''Now Test Yourself'' tasks and answers- Improve exam technique through practice questions and expert tips- Get exam ready with answers to the practice questions available online

Objev podobné jako My Revision Notes: CCEA GCSE Learning for Life and Work: Second Edition - Joanne McDonnell

Apply these eight learning principles for more effective teaching As educators in the ever-evolving landscape of higher education, we are continuously challenged to keep our courses effective, engaging, relevant, and inclusive. The updated and expanded second edition of How Learning Works can help! It incorporates the latest research, provides a wider range of strategies, and adds a new principle to your toolkit. Readers will find eight essential learning principles that distill the overwhelming research literature into: Real-world teaching and learning scenariosExamples that reflect a diverse set of teaching environments and learner populations150 practical strategies you can apply to your teaching context With these practical, broadly applicable insights, you can: Understand why your successful teaching approaches workSolve common teaching and learning problemsAdapt your teaching to new modalities (e.g., online, hybrid) and challengesGround your innovations in evidence-based practice Based on research from cognitive psychology, developmental psychology, education, anthropology, and more—this book makes learning work…for you and your students.

Objev podobné jako How Learning Works - Marie K. Norman, Susan A. Ambrose, Michele DiPietro, Michael W. Bridges, Marsha C. Lovett

essence Harley Quinn, 3 ks, Gumičky do vlasů pro ženy, Vyjádřete svůj kreativní styl s gumičkou do vlasů essence Harley Quinn! Gumička do vlasů essence Harley Quinn je dokonalým stylovým doplňkem pro všechny milovníky ikonické postavy Harley Quinn a odvážné módy. Tato gumička nejen podtrhne váš osobitý styl, ale také účinně zkrotí vaše vlasy a dodá jim okouzlující vzhled. Perfektně drží a je vhodná pro všechny typy vlasů. Nezáleží na tom, zda se chystáte na večírek, cosplay nebo jen chcete do všedního dne přinést trochu divoké energie, s gumičkou essence Harley Quinn budete vždy nepřehlédnutelní. Díky kvalitnímu materiálu je jemná k vlasům, a zároveň zajišťuje pevné a pohodlné držení po celý den. Vlastnosti: inspirována ikonickým stylem Harley Quinn vhodná pro všechny typy vlasů zajišťuje pevné, ale jemné držení ideální pro kreativní styling a každodenní nošení barevný design přináší hravost do vašeho looku snadná manipulace a spolehlivý výkon odlehčený materiál poskytuje pohodlí skvělý doplněk pro cosplay či tematické akce Materiál: měkká textilie elastické vlákno Jak používat: Otočte gumičku essence Harley Quinn kolem vlasů podle potřeby pro vytvoření culíku, drdolu nebo jiného účesu. Díky pružnému materiálu přizpůsobíte pevnost držení podle svých preferencí. Pro údržbu doporučujeme gumičku ručně vyprat v teplé vodě s jemným čisticím prostředkem a nechat ji volně proschnout. Notino tip: Doplňte svůj look i kosmetikou inspirovanou Harley Quinn, jako jsou odvážné rtěnky, oční stíny nebo laky na nehty od essence. Kombinujte gumičku s dalšími doplňky z kolekce pro dokonalý tematický styl.

Objev podobné jako essence Harley Quinn gumička do vlasů 3 ks

Joanne Molinaro is everyone''s favourite storytelling vegan cook. On her platform, The Korean Vegan, she''s known for her personal narrative voiceovers, which accompany mouthwatering videos of her making everything from Kimchi to Korean-inspired pasta dishes. Whether it''s a reflection on her relationship with her father over a plate of noodles or a story about learning to love her body as a marathon runner while she bakes dessert, Joanne is always making deep connections with her followers through food. Now, in The Korean Vegan: Homemade, Joanne offers the recipes that she makes most often at home. As Joanne likes to say, she loves to ''veganize'' Korean cuisine and ''Koreanize'' everything else. This book is a tribute to all the culinary inspirations that have shaped her cooking over the years and incredible flavours they have created. A memory about learning to repurpose leftover rice from her grandmother Hahlmuhnee results in Fried Rice Waffles; a question from her father leads to Joanne learning to make his childhood favourite noodles, Janchi Guksu; her Pesto Tteokbokki combines her husband''s Italian roots with her own; and her love of savoury snacks and kimchi helps invent Buffalo Kimchi Artichoke Dip. With her stunning signature photography and tips for building a Korean pantry, Joanne celebrates the magical connections between family, home, and food.

Objev podobné jako The Korean Vegan: Homemade - Joanne Lee Molinaro

essence Harley Quinn, 1 ks, Houbičky pro ženy, Houbička pro bezchybnou aplikaci make-upu Jak snadno, rychle a rovnoměrně nanést make-up? Řešení přináší houbička na make-up essence Harley Quinn, kterou je možné použít na aplikaci krémových i pudrových kosmetických produktů. Vlastností: nanese produkty i na těžko dostupná místa je měkká a příjemná na pleti balení obsahuje úložný obal vyznačuje se atraktivním designem Složení: neobsahuje nanočástice Jak používat: Houbičku essence Harley Quinn můžete používat k nanesení pudrových i krémových produktů. Po použití houbičku očistěte. Notino tip: Součástí řady essence Harley Quinn je také například lesk na rty essence Harley Quinn.

Objev podobné jako essence Harley Quinn houbička na make-up 1 ks

An epic excursion into one of the last great frontiers on EarthThe deep ocean comprises more than 90 percent of our planet’s biosphere and is home to some of the world’s most dazzling creatures, which thrive amid extreme pressures, scarce food supplies, and frigid temperatures. Living things down here behave in remarkable and surprising ways, and cutting-edge technologies are shedding new light on these critically important ecosystems. This beautifully illustrated book leads you down into the canyons, trenches, and cold seeps of the watery abyss, presenting the deep ocean and its inhabitants as you have never seen them before. Features a wealth of breathtaking photos, illustrations, and graphicsGives a brief and accessible history of deep-sea explorationExplains the basics of oceanographyCovers a marvelous diversity of undersea organismsDescribes habitats ranging from continental slopes to hydrothermal vents and abyssal plainsDiscusses humanity’s impacts on the deep ocean, from fisheries and whaling to global climate change and acidificationWritten by a team of world-class scientists

Objev podobné jako The Deep Ocean - Hans van Haren, Michael Vecchione, Louise Allcock, Imants Priede

Když z nebe spadne nefalšovaná superhrdinka Power Girl a vyrobí obrovský kráter přímo v Harleyině novém sousedství na Coney Islandu, bývalé Jokerově společnici zbývá jediné: ušít si nový kostým! Power Girl totiž trpí ztrátou paměti a Harley se splní sen – stane se polovinou dvojice zločin potírajících superhrdinek! Ale vydrží sekat latinu a předstírat, že je zákona dbalou občankou? A i když ano... na kolik kousků ji Power Girl roztrhne, jestli si vzpomene? NAVÍC! Nahlédněte pět let do budoucnosti, v níž se znovu shledá nejúžasnější zločinná dvojka, Harley a Joker! DVOJITĚ NAVÍC! Nechte si od Harley předvést, jak se to má na Comic-Conu správně rozbalit! Její divokou jízdu skrz San Diego nakreslili Amada Connerová, Dave Johnson a další šíleně talentovaní kreslíři, které jsme k tomu v hale H přinutili! Scenáristé AMANDA CONNEROVÁ a JIMMY PALMIOTTI vám spolu s výtvarníky CHADEM HARDINEM a JOHNEM TIMMSEM přinášejí HARLEY QUINN: VÝPADEK – další nálož ztřeštěných dobrodružství s nejoblíbenější brooklynskou kráskou v hlavní roli! Obsahuje komiksy HARLEY QUINN 9–13, HARLEY QUINN: BUDOUCÍ KONCE 1 a HARLEY QUINN VTRHLA NA SAN DIEGO COMIC-CON INTERNATIONAL 1.

Objev podobné jako Harley Quinn 2: Výpadek - Jimmy Palmiotti, Amanda Connerová, Chad Hardin

essence Harley Quinn, 10,2 g, Paletky očních stínů pro ženy, Hravé oční stíny, které rozzáří váš den Chcete své oči zvýraznit barvami, které působí svěže a zábavně? V tom případě by vaší pozornosti neměla uniknout paletka očních stínů essence Harley Quinn. Tato paletka obsahuje stíny s různými barvami i efekty, najdete v ní matné, třpytivé i metalické stíny a také dva speciální stíny pro tvorbu očních linek. Vlastnosti: přináší vysoce pigmentované oční stíny umožňují vytvořit jemný i dramatický vzhled obal zdobí komixová postava Harley Quinn Složení: neobsahuje parabeny ani oleje Jak aplikovat: Stíny naneste na víčka pomocí štětce na oční stíny. K vytvoření krémové oční linky použijte navlhčený úzký štěteček. Notino tip: Součástí kolekce essence Harley Quinn je také rozjasňující pudr nebo gelová rtěnka. Obohaťte těmito skvělými pomocníky svou kosmetickou výbavu.

Objev podobné jako essence Harley Quinn paletka očních stínů odstín 02 Mad Love 10,2 g

essence Harley Quinn, 8 ml, Laky na nehty pro ženy, Vysoce pigmentovaný lak na nehty Některé laky na nehty dokážou okamžitě upoutat pozornost okolí. Jedním takovým je i lak na nehty essence Harley Quinn, který vás na první pohled zaujme působivým holografickým efektem. Okouzlí i vás? Vlastnosti: má neprůhledné složení přináší dlouhotrvající efekt snadno se nanáší díky praktickému aplikátoru Jak aplikovat: Lak na nehty essence Harley Quinn naneste pomocí aplikátoru na nehty a nechejte ho zaschnout. Notino tip: Součástí kolekce essence Harley Quinn je také například maska na oční okolí, lesk na rty, houbička na make-up nebo gumička do vlasů. Které produkty padly do oka vám?

Objev podobné jako essence Harley Quinn lak na nehty odstín 01 XOXO, Harley 8 ml

essence Harley Quinn, 8 ml, Laky na nehty pro ženy, Vysoce pigmentovaný lak na nehty Některé laky na nehty dokážou okamžitě upoutat pozornost okolí. Jedním takovým je i lak na nehty essence Harley Quinn, který vás na první pohled zaujme působivým holografickým efektem. Okouzlí i vás? Vlastnosti: má neprůhledné složení přináší dlouhotrvající efekt snadno se nanáší díky praktickému aplikátoru Jak aplikovat: Lak na nehty essence Harley Quinn naneste pomocí aplikátoru na nehty a nechejte ho zaschnout. Notino tip: Součástí kolekce essence Harley Quinn je také například maska na oční okolí, lesk na rty, houbička na make-up nebo gumička do vlasů. Které produkty padly do oka vám?

Objev podobné jako essence Harley Quinn lak na nehty odstín 8 ml

Harley Quinn si rodinu určuje po svém. Shromáždila ve svém brooklynském útočišti bandičku ztracených existencí, potrhlých podivínů a rázných zrůd, to je pro ni rodina - a mohla by si snad polepšená psychotická superzlodcera přát nějakou lepší? Ale to se teď změní. Vládkyni vřavy čeká největší šok posledních let, který ji uzemní spolehlivěji než její pádná palice zapomnění… návštěva jejích rodičů?!? Přesně tak, lidičky, pan a paní Quinzelovi přijeli na návštěvu. A chtějí poznat nejen krásy New Yorku, ale hlavně všechny přátele své milované příšerky, její nejlepší (zas jen) kamarádkou Poison Ivy počínaje a superkámoškou Power Girl rozhodně nekonče. Jenže to každodenní šílenství, které Harley zažívá, už dávno ani vzdáleně nespadá do kolonky pouhého "alternativního životního stylu", a tak není divu, že je naše bledá hrdinka studem rudá až za ušima. Ale brzy se ukáže, že ani střelená jablka nepadají daleko od stromu. Harleyini rodiče by si také měli pořídit samostatnou skříň jen na své kostlivce a přinejmenším dva další rukávy na triky. A ještě než Harley rozpoutá svou megabombastickou narozeninovou oslavu, všechna tajemství chtě nechtě vyplavou! JIMMY PALMIOTTI a AMANDA CONNEROVÁ pokračují ve své už nyní legendární jízdě s jednou z nejikoničtějších a nejironičtějších hrdinek komiksu v knize HARLEY QUINN: PŘEKVÁPKO. Toto vydání obsahuje ústřední příběhy z komiksů HARLEY QUINN č. 22-27 a celý HARLEY QUINN 25. NAROZENINOVÝ SPECIÁL č. 1, v němž řada nejtalentovanějších komiksových autorů vzdává hold jediné a nedostižné Harley, a to včetně samotného jejího spolutvůrce PAULA DINIHO!

Objev podobné jako Harley Quinn 4: Překvápko - Jimmy Palmiotti, Amanda Connerová, Chad Hardin

Když je jeden z předních doktorů Gotham City nalezen mrtvý s Jokerovým toxinem v žilách, všechny důkazy ukazují na Harley. Případu se chopí Temný rytíř. Aby Harley očistila své jméno, bude muset přesvědčit Batmana o své nevině a pak s maskovaným bojovníkem proti zločinu spojit síly při dopadení skutečného záporáka.Ale tahle nešťastná náhoda není jen další z Quinniných vylomenin. Jde o první krok v kosmicky parádní příležitosti, jaká přichází jednou za život. Ukázalo se totiž, že božští Vládci chaosu a řádu hledají nového zástupce, a Harley se kvalifikovala jako kandidátka. Takže teď mezi ní a titulem polobohyně Chaosu (přirozeně) a pořádku (to se někdo upsal?) stojí jen pár mizerných zkoušek.Ale dřív, než prokáže svou cenu nesmrtelným, bude muset přesvědčit Batmana. Pokud ten neuvěří, že se změnila, z první zkoušky se klidně může stát ta poslední!Navíc Tři čarodějky broučínka Harley potrápí nečekanou proměnou, sváteční rodinné setkání přinese špatné zprávy… A ještě mnohem víc se toho stane v HARLEY QUINN: ZKOUŠKY PRO HARLEY QUINN, od scenáristy SAMA HUMPHRIESE (DIAL H FOR HERO) a výtvarníků JOHNA TIMMSE (Harley Quinn), OTTO SCHMIDTA (Green Arrow) a SAMI BASRIHO (Power Girl)! Obsahuje sešity #55 a #57–63.

Objev podobné jako Harley Quinn 3: Zkoušky pro Harley Quinn - Sam Humphries, John Timms

LEGO® Batman™ a Batmobil vs. Harley Quinn™ a Mr. Freeze™ (76274) – akční jízda pro fanoušky Temného rytířePřipravte se na střet dobra a zla v ikonickém stylu! Tato stavebnice LEGO® Batman™ pro děti od 8 let přináší Batmobil inspirovaný seriálem Batman: The Animated Series™ a tři slavné postavy – Batmana, Harley Quinn™ a Mr. Freeze™. Model je nejen plný akčních prvků, ale také ideální na výstavku díky otočnému podstavci s popiskem.Legendární vozidlo a nezapomenutelná sestava Batmobil – s výklopným kokpitem, ovládacím panelem a plamenem ve výfuku, který se otáčí při jízdě. Odnímatelné odpalovače – na kapotě vozu pro akční hru s padouchy. 3 minifigurky – Batman s tvarovaným pláštěm, Harley Quinn s kladivem a Mr. Freeze s odpalovačem. Proč si ho zamilujete Skvělé spojení hraní a vystavení – model na otočném podstavci vypadá úžasně z každého úhlu. Věrný stylu animovaného seriálu – nostalgie pro dospělé fanoušky i inspirace pro nové generace. Parádní vozidlo – detailně propracovaný Batmobil potěší každého milovníka superhrdinských strojů. Digitální zážitek – aplikace LEGO® Builder přináší interaktivní stavění ve 3D. Co rozvíjí Kreativní myšlení – při vytváření vlastních superhrdinských scénářů. Jemnou motoriku – skládání i manipulace s vozidlem a figurkami. Estetické vnímání – díky designu, který je vhodný jak ke hře, tak k vystavení. Obsah balení 435 LEGO® dílků 3 minifigurky – Batman™, Harley Quinn™ a Mr. Freeze™ Sestavitelný Batmobil s pohyblivými prvky Otočný podstavec a popisná cedulka Skvělý dárek pro fanoušky Batmana, milovníky akce i sběratele stylových LEGO® vozidel s příběhem.

Objev podobné jako Batman™ a Batmobil vs. Harley Quinn™ a Mr. Freeze™ - Harry Potter (76274)

RENDL QUINN závěsné svítidlo – černá a jantarové sklo, E27, IP54Závěsné svítidlo RENDL QUINN v elegantní černé barvě s charakteristickým jantarovým sklem je ideální volbou pro moderní exteriéry i kryté venkovní prostory. Svým čistým designem a kvalitním zpracováním zaujme nejen na terase, pod pergolou, ale i v interiéru s industriálním či minimalistickým nádechem.Design a funkčnostDominantou svítidla je jantarové sklo, které jemně rozptyluje světlo a vytváří příjemnou atmosféru. Černé detaily působí moderně a kontrastně, zatímco jednoduchý válcový tvar je nadčasový a snadno kombinovatelný s různými styly. Rozměry: Výška 110 mm, šířka 210 mm, délka závěsu 1250 mm Patice: E27 – možnost volby LED žárovky dle vašeho přání Maximální příkon: 11 W Stupeň krytí: IP54 – vhodné do exteriéru, odolné proti prachu a stříkající vodě Materiál: Sklo a kov v černém provedení Barva skla: Jantarová – pro teplé, atmosférické osvětleníDoporučení pro použitíSvítidlo RENDL QUINN je perfektní pro osvětlení vstupů, teras, pergol, ale i moderních interiérů. Díky patici E27 můžete zvolit úspornou LED žárovku s teplým nebo neutrálním světlem podle potřeby prostoru.Trust badges & garance Životnost: až 30 000 h (dle použité LED žárovky) Záruka: 2 roky Certifikace: CE, vhodné pro EU trhFAQ – Často kladené dotazy Lze zkracovat závěs svítidla? Ano, závěs je možné při instalaci upravit podle výšky vašeho stropu. Jakou žárovku zvolit pro maximální úsporu? Doporučujeme LED žárovku s paticí E27 o příkonu do 11 W, která zajistí dlouhou životnost a minimální spotřebu energie. Vyberte si RENDL QUINN a dopřejte svému prostoru stylové, funkční a odolné osvětlení s dlouhou životností a minimální údržbou.

Objev podobné jako RED - DESIGN RENDL RENDL QUINN závěsná černá jantarové sklo 230V E27 11W IP54 R14130

Harley Quinn goes All-In! Join a brand-new creative team as Harley’s favorite and ultra-dangerous neighborhood has been gentrified beyond recognition. Now she’s on a one-clown mission to make Gotham safe for crime again.Harley Quinn joins DC’s “All In” initiative with a brand-new creative the brand new creative team of writer Elliott Kalan and artist Mindy Lee. When Harley Quinn discovers her favorite dangerous neighborhood in Gotham City has been gentrified beyond recognition, she breaks bad and sets out on a one clown-woman mission to make Gotham City safe for crime again! Collects: Harley Quinn #44-49

Objev podobné jako Harley Quinn Vol. 1: Destructive Comics - Kalan Elliott, Mindy Lee

The Teaching and Learning Playbook is a book and online resource containing more than 100 techniques that teachers and school leaders can use to drive improvements in their schools. Each technique includes a summary of what the technique is, why it is important, the effect size and a four-step guide to how it should be performed. The Playbook provides a unique tool for teachers to identify how they can improve their teaching, and practise with absolute clarity on what they need to do next. All techniques are accompanied by a video to show the technique in action and spotlight the four key elements with detailed audio commentary to make it easier for teachers to replicate. These can all be found on the website: www.teachingandlearningplaybook.com Codifying the key skills for every teacher to get better and for every school leader to drive improvements in their school, the Playbook covers:Routines for LearningQuestioning and Checking for UnderstandingModelling, Explaining and Feeding BackResilience, Independence and RetrievalCurriculumBeyond the Subject ClassroomThis essential resource provides a clear framework for teachers and school leaders to improve teaching and learning. Simple to use and easily integrated into CPD and coaching programmes, the Playbook will take your teaching to the next level.

Objev podobné jako The Teaching and Learning Playbook - Ben Karlin, Michael Feely

When Joanne Lefson took on a piglet at her animal shelter, the young sow proceeded to eat everything in her stable but a paint brush. In a flash of inspiration, Joanne attempted to introduce the pig to the art of painting - and thus Pigcasso was born. Starting out with a humble canvas on the sanctuary wall, Pigcasso''s paintings are now owned by the likes of George Clooney, she has a Swatch watch design partnership, a wine label, and has eclipsed the previous world record holder for animal art. She''s been commissioned by Nissan and has had exhibitions in Cape Town, Munich and Amsterdam. More than that, Pigcasso''s art funds the food and veterinary services for all the animals at the sanctuary.Pigcasso is the story of this unique pig and of the circumstances that brought her and Joanne together to take the art world by storm and form a unique and unbreakable bond.

Objev podobné jako Pigcasso - Joanne Lefson

A WATERSTONES BEST ROMANTASY PICK OF 2024__________________''A sparkling modern fairytale... like reading champagne'' NATASHA PULLEY''Full of heart and mystery, and bejewelled with tiny glittering details'' SAMANTHA SHANNON''I am in awe of the beauty of Joanne Harris''s latest creation'' PAT CADIGAN__________________The wait is over... Million-copy bestseller Joanne Harris is back with her first fantasy novel in 6 years - and this time it''s a love story.Orphaned, lonely, and lost in his photography work, Tom has no intention of falling in love. And yet, love finds him in the shape of beautiful Vanessa, who lives a dangerous double life in the heart of London''s King''s Cross.Tom''s pursuit of Vanessa leads him to discover an alternate world, hidden amongst the streets and rooftops of London - and inhabited by strange and colourful beings. In this mysterious realm, two ancient factions - one of night, one of day - have waged war for centuries over a forbidden love and a long-lost prince of sun and starlight.But when Tom finds a secret market that appears only in moonlight, where charms and spells are bought with memories, he starts to wonder whether he''s been here before...Romeo and Juliet meets fantasy in this spellbinding modern fairytale of fae courts, forbidden love, magical wars, lost princes, and secret worlds hidden just out of sight in the cavernous shadows of contemporary London - perfect for fans of V.E. Schwab and Samantha Shannon.Praise for Joanne Harris:''A core fantasy... with a cool twist'' STEPHENIE MEYER''A master of her craft'' MATT HAIG''Exhilarating. Addictive. Fierce'' BRIDGET COLLINS''Enchanting and thought-provoking'' IAN RANKIN''Blazes with anger and sorrow'' MARIAN KEYES''Utterly unforgettable'' CATRIONA WARD''Bold, brave and timely'' SARAH PINBOROUGH''Thought-provoking and evocative'' TOR.COM''Moving and brilliant'' DAILY MAIL''Dreamy'' METRO''Magical, poignant, and wholly transporting'' PUBLISHERS WEEKLY''Hauntingly evocative'' TIME OUT

Objev podobné jako The Moonlight Market - Joanne Harrisová

Captivating, complex and compellingly intense, this psychological thriller from international multi-million copy seller Joanne Harris is perfect for fans of Ann Cleeves, Susan Hill, Nicci French and Val McDermid. Brilliantly written, expertly plotted and ingeniously structured...with its fair share of plot twists and unreliable narrators, this is one book that will not let you go...''Delivers an almighty twist in the tale late on...brilliantly atmospheric and at times heartbreaking'' -- The Times''An ingenious, gripping read...it terrified the living daylights out of me'' -- Daily Express''Engrossing psychological thriller...a novel of unusual complexity...Harris, best known for Chocolat, again shows her skill and versatility'' -- Mail on Sunday''Joanne Harris never fails to deliver'' -- ***** Reader review''A story superbly told with a brilliant, totally unexpected, twist at the end. Made my blood run cold!'' -- ***** Reader review''I couldn''t put this one down!'' -- ***** Reader review''An enthralling read'' -- ***** Reader review''I read this book in two days; I just couldn''t put it down'' -- ***** Reader review******************************************************************FROM BESTSELLING AUTHOR JOANNE HARRIS COMES THIS GRIPPING PSYCHOLOGICAL THRILLER...Once there was a widow with three sons, and their names were Black, Brown and Blue. Black was the eldest; moody and aggressive. Brown was the middle child; timid and dull. But Blue was his mother''s favourite. And he was a murderer.blueeyedboy is a dark and intricately plotted tale of a poisonously dysfunctional family, a blind child prodigy, and a serial murderer who is not who he seems.Told through a series of anonymous posts on the internet, this is a thriller that makes creative use of all the multiple personalities, disguise and mind games that are offered by playing out a life online.

Objev podobné jako Blueeyedboy - Joanne Harrisová