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Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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Book Description
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.
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Get Book Here
Book Description
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.
Author: John Almarode
Publisher: Corwin Press
ISBN: 1506384722
Category : Education
Languages : en
Pages : 241
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Book Description
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.
Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
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Book Description
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.
Author: Frank Smith
Publisher: Teachers College Press
ISBN: 9780807737507
Category : Education
Languages : en
Pages : 0
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Book Description
In this thought-provoking book, Frank Smith explains how schools and educational authorities systematically obstruct the powerful inherent learning abilities of children, creating handicaps that often persist through life. The author eloquently contrasts a false and fabricated “official theory” that learning is work (used to justify the external control of teachers and students through excessive regulation and massive testing) with a correct but officially suppressed “classic view” that learning is a social process that can occur naturally and continually through collaborative activities. This book will be crucial reading in a time when national authorities continue to blame teachers and students for alleged failures in education. It will help educators and parents to combat sterile attitudes toward teaching and learning and prevent current practices from doing further harm.
Author: Anne Meyer
Publisher: CAST Professional Publishing
ISBN: 9781930583542
Category : Education
Languages : en
Pages : 234
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Book Description
Anne Meyer and David Rose, who first laid out the principles of UDL, provide an ambitious, engaging discussion of new research and best practices. This book gives the UDL field an essential and authoritative learning resource for the coming years. In the 1990s, Anne Meyer, David Rose, and their colleagues at CAST introduced Universal Design for Learning (UDL) as a framework to improve teaching and learning in the digital age, sparking an international reform movement. Now Meyer and Rose return with Universal Design for Learning: Theory and Practice, an up-to-date multimedia online book (with print and e-book options) that leverages more than a decade of research and implementation. This is the first significant new statement on UDL since 2002, an ambitious, engaging exploration of ideas and best practices that provides the growing UDL field with an essential and authoritative learning resource for the coming years. This new work includes contributions from CAST's research and implementation teams as well as from many of CAST's collaborators in schools, universities, and research settings. Readers are invited to contribute ideas, perspectives, and examples from their own practice in an online community of practice. --
Author: Alan Gratz
Publisher: Scholastic Inc.
ISBN: 0545880874
Category : Juvenile Fiction
Languages : en
Pages : 320
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Book Description
The award-winning, #1 New York Times bestselling novel from Alan Gratz tells the timely--and timeless--story of three different kids seeking refuge. A New York Times bestseller! JOSEF is a Jewish boy living in 1930s Nazi Germany. With the threat of concentration camps looming, he and his family board a ship bound for the other side of the world... ISABEL is a Cuban girl in 1994. With riots and unrest plaguing her country, she and her family set out on a raft, hoping to find safety in America... MAHMOUD is a Syrian boy in 2015. With his homeland torn apart by violence and destruction, he and his family begin a long trek toward Europe... All three kids go on harrowing journeys in search of refuge. All will face unimaginable dangers -- from drownings to bombings to betrayals. But there is always the hope of tomorrow. And although Josef, Isabel, and Mahmoud are separated by continents and decades, shocking connections will tie their stories together in the end. As powerful and poignant as it is action-packed and page-turning, this highly acclaimed novel has been on the New York Times bestseller list for more than four years and continues to change readers' lives with its meaningful takes on survival, courage, and the quest for home.
Author: Gregg Behr
Publisher: Hachette GO
ISBN: 9780306874741
Category : Family & Relationships
Languages : en
Pages : 272
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Book Description
Bringing the lessons of Mister Rogers into the digital age Playful and practical, When You Wonder, You're Learning introduces a new generation of families to the lessons of Mister Rogers' Neighborhood. By exploring the science behind the iconic television program, the book reveals what Fred Rogers called the "tools for learning": skills and mindsets that scientists now consider essential. These tools--curiosity, creativity, collaboration, and more--have been shown to boost everything from academic learning to children's well-being, and they benefit kids of every background and age. They cost next to nothing to develop, and they hinge on the very things that make life worthwhile: self-acceptance; close, loving relationships; and a deep regard for one's neighbor. When You Wonder, You're Learning shows parents and educators the many ways they might follow in Rogers' footsteps, sharing his "tools for learning" with digital-age kids. With insights from thinkers, scientists, and teachers--many of whom worked with Rogers himself--the book is an essential exploration into how kids and their parents can excel at what Rogers taught best: being human.
Author: Richard DuFour
Publisher: Solution Tree Press
ISBN: 1935249894
Category : Education
Languages : en
Pages : 318
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Book Description
Like the first edition, the second edition of Learning by Doing: A Handbook for Professional Learning Communities at Work helps educators close the knowing-doing gap as they transform their schools into professional learning communities (PLCs).
Author: Courtney E. Martin
Publisher: Little, Brown
ISBN: 0316428256
Category : Social Science
Languages : en
Pages : 397
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Book Description
This "provocative and personally searching"memoir follows one mother's story of enrolling her daughter in a local public school (San Francisco Chronicle), and the surprising, necessary lessons she learned with her neighbors. From the time Courtney E. Martin strapped her daughter, Maya, to her chest for long walks, she was curious about Emerson Elementary, a public school down the street from her Oakland home. She learned that White families in their gentrifying neighborhood largely avoided the majority-Black, poorly-rated school. As she began asking why, a journey of a thousand moral miles began. Learning in Public is the story, not just Courtney’s journey, but a whole country’s. Many of us are newly awakened to the continuing racial injustice all around us, but unsure of how to go beyond hashtags and yard signs to be a part of transforming the country. Courtney discovers that her public school, the foundation of our fragile democracy, is a powerful place to dig deeper. Courtney E. Martin examines her own fears, assumptions, and conversations with other moms and dads as they navigate school choice. A vivid portrait of integration’s virtues and complexities, and yes, the palpable joy of trying to live differently in a country re-making itself. Learning in Public might also set your family’s life on a different course forever.
Author: Frederick Bodmer
Publisher: W. W. Norton & Company
ISBN: 9780393300345
Category : Language Arts & Disciplines
Languages : en
Pages : 724
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Book Description
Here is an informative introduction to language: its origins in the past, its growth through history, and its present use for communication between peoples. It is at the same time a history of language, a guide to foreign tongues, and a method for learning them. It shows, through basic vocabularies, family resemblances of languages -- Teutonic, Romance, Greek -- helpful tricks of translation, key combinations of roots and phonetic patterns. It presents by common-sense methods the most helpful approach to the mastery of many languages; it condenses vocabulary to a minimum of essential words; it simplifies grammar in an entirely new way; and it teaches a language as it is actually used in everyday life.
