EBOOK: Beginning to Play

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Release : 2004-08-16
Genre : Education
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Book Rating : 055/5 ( reviews)

EBOOK: Beginning to Play - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook EBOOK: Beginning to Play write by Ruth Forbes. This book was released on 2004-08-16. EBOOK: Beginning to Play available in PDF, EPUB and Kindle. "I hope this book will inspire early years practitioners, lecturers and trainers to stop and think in the hustle and bustle of daily practice, to take a fresh look at the play of these very young children. This book does not claim to have all the answers but seeks to challenge practitioners to observe closely and respond to babies as they begin to play."Elinor Goldschmied, author of People under Three: Young Children in Day Care This book focuses on the need to equip practitioners to meet the play needs of children in today’s early years settings. With babies and very young children increasingly being cared for in out-of-home care settings, it is essential for early years practitioners to be responsive and reflective to ensure that these young children’s needs are met in an appropriate way. Beginning to Play explores the young child’s right to a high quality, multi-sensory play environment where play really can begin. It builds on Goldschmied’s concept of Treasure Basket play, which involves a wide variety of everyday objects gathered together to stimulate all five senses of babies and young children. The book features detailed observations of babies beginning to play at and beyond the treasure basket. These observations support readers in offering rich play materials and experiences. Providing valuable insights and practical support, this reader-friendly book: Encourages practitioners to reflect on and review their own current practice. Supports readers in recognising and responding to babies’ signals and communication Emphasises the need for emotional well-being to enable babies and young children to begin to play and examines the effects of non-responsive care on babies and young children Beginning to Play is essential reading for practitioners working with children from birth to three, students on Early Childhood Studies courses, and other readers who are eager to increase their knowledge about children from birth to three.

Learning to Play

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Release : 2020-12-23
Genre : Computers
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Book Rating : 383/5 ( reviews)

Learning to Play - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning to Play write by Aske Plaat. This book was released on 2020-12-23. Learning to Play available in PDF, EPUB and Kindle. In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.

Piano Book for Adult Beginners

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Release : 2017-07-23
Genre : Piano
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Book Rating : 437/5 ( reviews)

Piano Book for Adult Beginners - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Piano Book for Adult Beginners write by Damon Ferrante. This book was released on 2017-07-23. Piano Book for Adult Beginners available in PDF, EPUB and Kindle. Learn how to read music, play with both hands at the same time, play chords and scales, as well as many more exciting piano techniques!.

Lisa Murphy on Play

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Release : 2016-05-16
Genre : Education
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Book Rating : 426/5 ( reviews)

Lisa Murphy on Play - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Lisa Murphy on Play write by Lisa Murphy. This book was released on 2016-05-16. Lisa Murphy on Play available in PDF, EPUB and Kindle. Discover why playing is school readiness with this updated guide. Timely research and new stories highlight how play is vital to the social, physical, cognitive, and spiritual development of children. Learn the seven meaningful experiences we should provide children with every day and why they are so important.

Deep Learning and the Game of Go

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Release : 2019-01-06
Genre : Computers
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Book Rating : 014/5 ( reviews)

Deep Learning and the Game of Go - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning and the Game of Go write by Kevin Ferguson. This book was released on 2019-01-06. Deep Learning and the Game of Go available in PDF, EPUB and Kindle. Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning