Author: Peter Gray
Publisher: Basic Books
ISBN: 0465037917
Category : Education
Languages : en
Pages : 223
Book Description
A leading expert in childhood development makes the case for why self-directed learning — "unschooling" — is the best way to get kids to learn. "All kids love learning. Most don't love school. That's a disconnect we've avoided discussing—until this lightning bolt of a book. If you've ever wondered why your curious kid is turning into a sullen slug at school, Peter Gray's Free to Learn has the answer. He also has the antidote." —Lenore Skenazy, author of Free-Range Kids In Free to Learn, developmental psychologist Peter Gray argues that in order to foster children who will thrive in today's constantly changing world, we must entrust them to steer their own learning and development. Drawing on evidence from anthropology, psychology, and history, he demonstrates that free play is the primary means by which children learn to control their lives, solve problems, get along with peers, and become emotionally resilient. A brave, counterintuitive proposal for freeing our children from the shackles of the curiosity-killing institution we call school, Free to Learn suggests that it's time to stop asking what's wrong with our children, and start asking what's wrong with the system. It shows how we can act—both as parents and as members of society—to improve children's lives and to promote their happiness and learning.
Free to Learn
Author: Peter Gray
Publisher: Basic Books
ISBN: 0465037917
Category : Education
Languages : en
Pages : 223
Book Description
A leading expert in childhood development makes the case for why self-directed learning — "unschooling" — is the best way to get kids to learn. "All kids love learning. Most don't love school. That's a disconnect we've avoided discussing—until this lightning bolt of a book. If you've ever wondered why your curious kid is turning into a sullen slug at school, Peter Gray's Free to Learn has the answer. He also has the antidote." —Lenore Skenazy, author of Free-Range Kids In Free to Learn, developmental psychologist Peter Gray argues that in order to foster children who will thrive in today's constantly changing world, we must entrust them to steer their own learning and development. Drawing on evidence from anthropology, psychology, and history, he demonstrates that free play is the primary means by which children learn to control their lives, solve problems, get along with peers, and become emotionally resilient. A brave, counterintuitive proposal for freeing our children from the shackles of the curiosity-killing institution we call school, Free to Learn suggests that it's time to stop asking what's wrong with our children, and start asking what's wrong with the system. It shows how we can act—both as parents and as members of society—to improve children's lives and to promote their happiness and learning.
Publisher: Basic Books
ISBN: 0465037917
Category : Education
Languages : en
Pages : 223
Book Description
A leading expert in childhood development makes the case for why self-directed learning — "unschooling" — is the best way to get kids to learn. "All kids love learning. Most don't love school. That's a disconnect we've avoided discussing—until this lightning bolt of a book. If you've ever wondered why your curious kid is turning into a sullen slug at school, Peter Gray's Free to Learn has the answer. He also has the antidote." —Lenore Skenazy, author of Free-Range Kids In Free to Learn, developmental psychologist Peter Gray argues that in order to foster children who will thrive in today's constantly changing world, we must entrust them to steer their own learning and development. Drawing on evidence from anthropology, psychology, and history, he demonstrates that free play is the primary means by which children learn to control their lives, solve problems, get along with peers, and become emotionally resilient. A brave, counterintuitive proposal for freeing our children from the shackles of the curiosity-killing institution we call school, Free to Learn suggests that it's time to stop asking what's wrong with our children, and start asking what's wrong with the system. It shows how we can act—both as parents and as members of society—to improve children's lives and to promote their happiness and learning.
Deep Learning
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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.
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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.
Free to Learn
Author: Pam Laricchia
Publisher:
ISBN: 9780987733320
Category : Alternative education
Languages : en
Pages : 122
Book Description
If you're eager to share the wonders of life in the real world with your children, to help them explore a world larger and more exciting than school's four walls and rigid programs can offer, let me share my unschooling experience with you. Thinking about homeschooling? Curious about unschooling? Walk with me as I share the five paradigm-changing ideas about learning and living that freed my family from the school schedule. With over ten years of experience, I have come to see how key these ideas were, and still are, to our unschooling lives. With stories, examples, and clear language, Free to Learn explores the depth and potential of unschooling. Learning freely, living joyfully.
Publisher:
ISBN: 9780987733320
Category : Alternative education
Languages : en
Pages : 122
Book Description
If you're eager to share the wonders of life in the real world with your children, to help them explore a world larger and more exciting than school's four walls and rigid programs can offer, let me share my unschooling experience with you. Thinking about homeschooling? Curious about unschooling? Walk with me as I share the five paradigm-changing ideas about learning and living that freed my family from the school schedule. With over ten years of experience, I have come to see how key these ideas were, and still are, to our unschooling lives. With stories, examples, and clear language, Free to Learn explores the depth and potential of unschooling. Learning freely, living joyfully.
R for Data Science
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Classic Starts®: the Adventures of Robin Hood
Author: Howard Pyle
Publisher: Union Square Press
ISBN: 9781454945345
Category : Juvenile Fiction
Languages : en
Pages : 160
Book Description
Enter Sherwood Forest with the fabled Robin Hood and his band of merry men, and meet such unforgettable characters as Friar Tuck, Little John, Allan a Dale, the infamous Sheriff of Nottingham, and wicked King Richard. Every moment of the story is filled with action and excitement.
Publisher: Union Square Press
ISBN: 9781454945345
Category : Juvenile Fiction
Languages : en
Pages : 160
Book Description
Enter Sherwood Forest with the fabled Robin Hood and his band of merry men, and meet such unforgettable characters as Friar Tuck, Little John, Allan a Dale, the infamous Sheriff of Nottingham, and wicked King Richard. Every moment of the story is filled with action and excitement.
Learning How to Learn
Author: Barbara Oakley, PhD
Publisher: Penguin
ISBN: 052550446X
Category : Juvenile Nonfiction
Languages : en
Pages : 258
Book Description
A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.
Publisher: Penguin
ISBN: 052550446X
Category : Juvenile Nonfiction
Languages : en
Pages : 258
Book Description
A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.
Talent Wants to Be Free
Author: Orly Lobel
Publisher: Yale University Press
ISBN: 0300166273
Category : Business & Economics
Languages : en
Pages : 290
Book Description
Presents a set of positive changes in corporate strategies, industry norms, regional policies, and national laws that will incentivize talent flow, creativity, and growth.
Publisher: Yale University Press
ISBN: 0300166273
Category : Business & Economics
Languages : en
Pages : 290
Book Description
Presents a set of positive changes in corporate strategies, industry norms, regional policies, and national laws that will incentivize talent flow, creativity, and growth.
How Children Learn
Author: John Holt
Publisher: Da Capo Lifelong Books
ISBN: 0201484048
Category : Psychology
Languages : en
Pages : 326
Book Description
Explores the natural learning processes of children at the pre-school and primary grade level and describes the ways in which formal education damages and impedes the child's independent ability to learn
Publisher: Da Capo Lifelong Books
ISBN: 0201484048
Category : Psychology
Languages : en
Pages : 326
Book Description
Explores the natural learning processes of children at the pre-school and primary grade level and describes the ways in which formal education damages and impedes the child's independent ability to learn
Fluent Forever (Revised Edition)
Author: Gabriel Wyner
Publisher: Random House
ISBN: 0593797493
Category : Foreign Language Study
Languages : en
Pages : 417
Book Description
The bestselling guide to learning a new language and remembering what you learned, now revised and updated “A brilliant and thoroughly modern guide . . . If you want a new language to stick, start here.”—Gary Marcus, cognitive psychologist and author of the New York Times bestseller Guitar Zero Gabriel Wyner speaks seven foreign languages fluently. He didn’t learn them in school—who does? Rather, he mastered each one on his own, drawing on free online resources, short practice sessions, and his knowledge of neuroscience and linguistics. In Fluent Forever, Wyner shares his foolproof method for learning any language. It starts by hacking the way your brain naturally encodes information. You’ll discover how to hear new sounds and train your tongue to produce them accurately. You’ll connect spellings and sounds to images so that you start thinking in a new language without translating. With spaced-repetition systems, you’ll build a foundation for your language in a week and learn hundreds of words a month—with just a few minutes of practice each day. This revised edition also shares fresh strategies that Wyner has refined over years of study. You’ll learn to • use your interests to curate vocabulary that you’ll actually be excited to study • fast-track fluency, with a new appendix devoted to conversation strategies with native speakers • compile the best language-learning tool kit for your budget • harness the science of motivation and habit building to turbocharge your progress • find the perfect level of difficulty with reading and listening comprehension to stay engaged and avoid frustration With suggestions for helpful study aids and a wealth of free resources, the intuitive techniques in this book will offer you the most efficient and rewarding way to learn a new language.
Publisher: Random House
ISBN: 0593797493
Category : Foreign Language Study
Languages : en
Pages : 417
Book Description
The bestselling guide to learning a new language and remembering what you learned, now revised and updated “A brilliant and thoroughly modern guide . . . If you want a new language to stick, start here.”—Gary Marcus, cognitive psychologist and author of the New York Times bestseller Guitar Zero Gabriel Wyner speaks seven foreign languages fluently. He didn’t learn them in school—who does? Rather, he mastered each one on his own, drawing on free online resources, short practice sessions, and his knowledge of neuroscience and linguistics. In Fluent Forever, Wyner shares his foolproof method for learning any language. It starts by hacking the way your brain naturally encodes information. You’ll discover how to hear new sounds and train your tongue to produce them accurately. You’ll connect spellings and sounds to images so that you start thinking in a new language without translating. With spaced-repetition systems, you’ll build a foundation for your language in a week and learn hundreds of words a month—with just a few minutes of practice each day. This revised edition also shares fresh strategies that Wyner has refined over years of study. You’ll learn to • use your interests to curate vocabulary that you’ll actually be excited to study • fast-track fluency, with a new appendix devoted to conversation strategies with native speakers • compile the best language-learning tool kit for your budget • harness the science of motivation and habit building to turbocharge your progress • find the perfect level of difficulty with reading and listening comprehension to stay engaged and avoid frustration With suggestions for helpful study aids and a wealth of free resources, the intuitive techniques in this book will offer you the most efficient and rewarding way to learn a new language.
Freedom to Learn
Author: Carl R. Rogers
Publisher:
ISBN:
Category :
Languages : en
Pages : 372
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 372
Book Description