Learning An Overview Update
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Learning An Overview Update
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Author : Kenneth H. Hansen
language : en
Publisher:
Release Date : 1976
Learning An Overview Update written by Kenneth H. Hansen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Education categories.
Reinforcement Learning Second Edition
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Author : Richard S. Sutton
language : en
Publisher: MIT Press
Release Date : 2018-11-13
Reinforcement Learning Second Edition written by Richard S. Sutton and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Computers categories.
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Learning An Overview Update
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Author : Kenneth H. Hansen
language : en
Publisher:
Release Date : 1976
Learning An Overview Update written by Kenneth H. Hansen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Educational psychology categories.
Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10
Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Resources In Education
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Author :
language : en
Publisher:
Release Date : 2001
Resources In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Education categories.
How People Learn Ii
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2018-09-27
How People Learn Ii written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Education categories.
There are many reasons to be curious about the way people learn, and the past several decades have seen an explosion of research that has important implications for individual learning, schooling, workforce training, and policy. In 2000, How People Learn: Brain, Mind, Experience, and School: Expanded Edition was published and its influence has been wide and deep. The report summarized insights on the nature of learning in school-aged children; described principles for the design of effective learning environments; and provided examples of how that could be implemented in the classroom. Since then, researchers have continued to investigate the nature of learning and have generated new findings related to the neurological processes involved in learning, individual and cultural variability related to learning, and educational technologies. In addition to expanding scientific understanding of the mechanisms of learning and how the brain adapts throughout the lifespan, there have been important discoveries about influences on learning, particularly sociocultural factors and the structure of learning environments. How People Learn II: Learners, Contexts, and Cultures provides a much-needed update incorporating insights gained from this research over the past decade. The book expands on the foundation laid out in the 2000 report and takes an in-depth look at the constellation of influences that affect individual learning. How People Learn II will become an indispensable resource to understand learning throughout the lifespan for educators of students and adults.
Learning
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Author : Chief State School Officers Summer Institute, San Diego, 1976
language : en
Publisher:
Release Date : 1976
Learning written by Chief State School Officers Summer Institute, San Diego, 1976 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Educational psychology categories.
An Introduction To Learning And Teaching In Higher Education
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Author : Peter Scales
language : en
Publisher: McGraw-Hill Education (UK)
Release Date : 2017-10-16
An Introduction To Learning And Teaching In Higher Education written by Peter Scales and has been published by McGraw-Hill Education (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-16 with Education categories.
This book is a comprehensive yet accessible introduction to learning and teaching in higher education, and an invaluable resource if you are seeking to enhance and develop your teaching in the context of the Teaching Excellence Framework (TEF). It also supports your progress towards Fellowship of the Higher Education Academy (HEA), with an overview of the UK Professional Standards Framework (UKPSF) and linking content to the framework. This book is for new and existing teachers in higher education and those teaching higher education programmes in further education colleges. As well as helping you enhance and extend your understanding of the theory and practice of learning and teaching, this book encourages you to reflect on and improve your teaching in higher education to meet the needs of a diversity of students in the changing landscape of higher education. Together with its progressive and logical sequencing of topics - covering planning and preparation; techniques, methods and resources; assessment, quality and evaluation - the book provides: • A core text and resource for new teachers in higher education undertaking postgraduate programmes in learning and teaching. • An accessible and practical introduction to the knowledge and skills required to become a confident and effective lecturer in higher education • Mapping to the HEA UK Professional Standards Framework to provide guidance and support for those working towards Fellowship of the HEA together with sample Fellowship applications • 'Pause & Reflect' boxes to reinforce your professional learning journey "This book is not only an excellent introduction to learning and teaching in university but also for those providing higher level learning in further education colleges." Vicky Duckworth, Reader in Education, Edge Hill University, UK "This wide-ranging almost encyclopedic book touches on all the topics and issues that someone new to higher education is required to address. Scales provides a guide for the new higher education teacher through the confusing and confused world of higher education in order that they can remain a teacher despite institutional distractions." Dennis Hayes, Professor of Education, University of Derby, UK "This book provides a welcome and timely addition which will be of huge value to anybody with an interest in teaching and learning in higher education. It will be of particular value to those new to teaching in the higher education sector as well as more experienced staff who wish to update their skills or apply for Higher Education Academy recognition." Chris Wakeman, Head of Education and Inclusion Studies, University of Wolverhampton, UK "Peter Scales shares my dislike for the word ‘delivery’ to describe teaching and clearly explains why! The text is passionate, readable and engaging with a logical presentation of the lived experiences of teaching in higher education.” Beverley Hale, Professor of Learning and Teaching, University of Chichester, UK
Federated Learning
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Author : Heiko Ludwig
language : en
Publisher: Springer Nature
Release Date : 2022-07-07
Federated Learning written by Heiko Ludwig and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-07 with Computers categories.
Federated Learning: A Comprehensive Overview of Methods and Applications presents an in-depth discussion of the most important issues and approaches to federated learning for researchers and practitioners. Federated Learning (FL) is an approach to machine learning in which the training data are not managed centrally. Data are retained by data parties that participate in the FL process and are not shared with any other entity. This makes FL an increasingly popular solution for machine learning tasks for which bringing data together in a centralized repository is problematic, either for privacy, regulatory or practical reasons. This book explains recent progress in research and the state-of-the-art development of Federated Learning (FL), from the initial conception of the field to first applications and commercial use. To obtain this broad and deep overview, leading researchers address the different perspectives of federated learning: the core machine learning perspective, privacy and security, distributed systems, and specific application domains. Readers learn about the challenges faced in each of these areas, how they are interconnected, and how they are solved by state-of-the-art methods. Following an overview on federated learning basics in the introduction, over the following 24 chapters, the reader will dive deeply into various topics. A first part addresses algorithmic questions of solving different machine learning tasks in a federated way, how to train efficiently, at scale, and fairly. Another part focuses on providing clarity on how to select privacy and security solutions in a way that can be tailored to specific use cases, while yet another considers the pragmatics of the systems where the federated learning process will run. The book also covers other important use cases for federated learning such as split learning and vertical federated learning. Finally, the book includes some chapters focusing on applying FL in real-world enterprise settings.
Monthly Catalogue United States Public Documents
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Author :
language : en
Publisher:
Release Date : 1984
Monthly Catalogue United States Public Documents written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Government publications categories.