Learning
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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.
How People Learn
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2000-08-11
How People Learn written by National Research Council 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 2000-08-11 with Education categories.
First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methods--to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.
An Introduction To Statistical Learning
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Author : Gareth James
language : en
Publisher: Springer Nature
Release Date : 2023-08-01
An Introduction To Statistical Learning written by Gareth James and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-01 with Mathematics categories.
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, marketing, and 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. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Clarity For Learning
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Author : John Almarode
language : en
Publisher: Corwin Press
Release Date : 2018-10-24
Clarity For Learning written by John Almarode and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-24 with Education categories.
An essential resource for student and teacher clarity With the ever-changing landscape of education, teachers and leaders often find themselves searching for clarity in a sea of standards, curriculum resources, and competing priorities. Clarity for Learning offers a simple and doable approach to developing clarity and sharing it with students through five essential components: crafting learning intentions and success criteria co-constructing learning intentions and success criteria with learners creating opportunities for students to respond effective feedback on and for learning students and teachers sharing learning and progress The book is full of examples from teachers and leaders who have shared their journey, struggles, and successes for readers to use to propel their own work forward.
A Guide To Student Centred Learning
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Author : Donna Brandes
language : en
Publisher: Nelson Thornes
Release Date : 1996
A Guide To Student Centred Learning written by Donna Brandes and has been published by Nelson Thornes this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Education categories.
Offering the possibility of a new relationship between teachers and learners, this book describes an approach to teaching styles and student progress, whereby the emphasis is on activity-based learning, rather than on teaching, and on teacher-student collaboration, rather than instruction. The book aims to show how students of any age and ability can take responsibility for their own learning in an environment of positive regard, as teachers become facilitators rather than instructors.
Teaching For Learning
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Author : Claire Howell Major
language : en
Publisher: Routledge
Release Date : 2015-08-27
Teaching For Learning written by Claire Howell Major and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-27 with Education categories.
Despite a growing body of research on teaching methods, instructors lack a comprehensive resource that highlights and synthesizes proven approaches. Teaching for Learning fills that gap. Each of the one hundred and one entries: describes an approach and lists its essential features and elements demonstrates how that approach has been used in education, including specific examples from different disciplines reviews findings from the research literature describes techniques to improve effectiveness. Teaching for Learning provides instructors with a resource grounded in the academic knowledge base, written in an easily accessible, engaging, and practical style.
Learning Challenge Lessons Primary
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Author : Jill Nottingham
language : en
Publisher: Corwin Press
Release Date : 2018-07-27
Learning Challenge Lessons Primary written by Jill Nottingham and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-27 with Education categories.
The Learning Challenge Lessons have been created to accompany The Learning Challenge and provide teachers with everything they need to run thoughtful, dialogue-driven Challenges. The Learning Challenge Lessons, Primary, book includes 20 developmentally-appropriate lesson plans that will help young learners: • Learn new vocabulary in the context of dialogue • Challenge themselves to think through complex concepts • Encourage their natural curiosity and seek answers to questions they pose themselves
Universal Design For Learning In The Classroom
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Author : Tracey E. Hall
language : en
Publisher: Guilford Press
Release Date : 2012-08-24
Universal Design For Learning In The Classroom written by Tracey E. Hall and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-24 with Education categories.
This book has been replaced by Universal Design for Learning in the Classroom, Second Edition, ISBN 978-1-4625-5396-9.
Developing Student Autonomy In Learning
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Author : David Boud
language : en
Publisher: Psychology Press
Release Date : 1988
Developing Student Autonomy In Learning written by David Boud and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Education categories.
First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.
Actionable Learning
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Author : Terrence Morrison
language : en
Publisher:
Release Date : 2001
Actionable Learning written by Terrence Morrison and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Active learning categories.