Free To Learn
DOWNLOAD eBooks
Download Free To Learn PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Free To Learn book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Free To Learn
DOWNLOAD eBooks
Author : Peter Gray
language : en
Publisher: Basic Books
Release Date : 2013-03-05
Free To Learn written by Peter Gray and has been published by Basic Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-05 with Education categories.
A leading expert in childhood development makes the case for why self-directed learning -- "unschooling" -- is the best way to get kids to learn. 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
DOWNLOAD eBooks
Author : Peter Gray
language : en
Publisher: Basic Books
Release Date : 2013-03-05
Free To Learn written by Peter Gray and has been published by Basic Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-05 with Psychology categories.
Our children spend their days being passively instructed, and made to sit still and take tests—often against their will. We call this imprisonment schooling, yet wonder why kids become bored and misbehave. Even outside of school children today seldom play and explore without adult supervision, and are afforded few opportunities to control their own lives. The result: anxious, unfocused children who see schooling—and life—as a series of hoops to struggle through. In Free to Learn, developmental psychologist Peter Gray argues that our children, if free to pursue their own interests through play, will not only learn all they need to know, but will do so with energy and passion. Children come into this world burning to learn, equipped with the curiosity, playfulness, and sociability to direct their own education. Yet we have squelched such instincts in a school model originally developed to indoctrinate, not to promote intellectual growth. 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, Gray 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. This capacity to learn through play evolved long ago, in hunter-gatherer bands where children acquired the skills of the culture through their own initiatives. And these instincts still operate remarkably well today, as studies at alternative, democratically administered schools show. When children are in charge of their own education, they learn better—and at lower cost than the traditional model of coercive schooling. 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 promote their happiness and learning.
Deep Learning
DOWNLOAD eBooks
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.
Learn You Some Erlang For Great Good
DOWNLOAD eBooks
Author : Fred Hebert
language : en
Publisher: No Starch Press
Release Date : 2013-01-13
Learn You Some Erlang For Great Good written by Fred Hebert and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-13 with Computers categories.
Erlang is the language of choice for programmers who want to write robust, concurrent applications, but its strange syntax and functional design can intimidate the uninitiated. Luckily, there’s a new weapon in the battle against Erlang-phobia: Learn You Some Erlang for Great Good! Erlang maestro Fred Hébert starts slow and eases you into the basics: You’ll learn about Erlang’s unorthodox syntax, its data structures, its type system (or lack thereof!), and basic functional programming techniques. Once you’ve wrapped your head around the simple stuff, you’ll tackle the real meat-and-potatoes of the language: concurrency, distributed computing, hot code loading, and all the other dark magic that makes Erlang such a hot topic among today’s savvy developers. As you dive into Erlang’s functional fantasy world, you’ll learn about: –Testing your applications with EUnit and Common Test –Building and releasing your applications with the OTP framework –Passing messages, raising errors, and starting/stopping processes over many nodes –Storing and retrieving data using Mnesia and ETS –Network programming with TCP, UDP, and the inet module –The simple joys and potential pitfalls of writing distributed, concurrent applications Packed with lighthearted illustrations and just the right mix of offbeat and practical example programs, Learn You Some Erlang for Great Good! is the perfect entry point into the sometimes-crazy, always-thrilling world of Erlang.
Learning How To Learn
DOWNLOAD eBooks
Author : Barbara Oakley, PhD
language : en
Publisher: Penguin
Release Date : 2018-08-07
Learning How To Learn written by Barbara Oakley, PhD and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-07 with Juvenile Nonfiction categories.
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.
How Children Learn
DOWNLOAD eBooks
Author : John Holt
language : en
Publisher: Hachette UK
Release Date : 2009-04-20
How Children Learn written by John Holt and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-20 with Education categories.
From the preface by Deborah Meier: "We have a long way to go to make John Holt's dream available to all children. But his books make it possible and easier for many of us to join him in the journey." In this enduring classic, rich with deep, original insight into the nature of early learning, John Holt was the first to make clear that, for small children, "learning is as natural as breathing." In his delightful book he observes how children actually learn to talk, to read, to count, and to reason, and how, as adults, we can best encourage these natural abilities in our children.
R For Data Science
DOWNLOAD eBooks
Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
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
Free To Learn
DOWNLOAD eBooks
Author : Pam Laricchia
language : en
Publisher:
Release Date : 2012
Free To Learn written by Pam Laricchia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Alternative education categories.
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.
Deep Learning For Coders With Fastai And Pytorch
DOWNLOAD eBooks
Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Unschooled
DOWNLOAD eBooks
Author : Kerry McDonald
language : en
Publisher: Chicago Review Press
Release Date : 2019-05-07
Unschooled written by Kerry McDonald and has been published by Chicago Review Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-07 with Family & Relationships categories.
Education has become synonymous with schooling, but it doesn't have to be. As schooling becomes increasingly standardized and test driven, occupying more of childhood than ever before, parents and educators are questioning the role of schooling in society. Many are now exploring and creating alternatives. In a compelling narrative that introduces historical and contemporary research on self-directed education, Unschooled also spotlights how a diverse group of individuals and organizations are evolving an old schooling model of education. These innovators challenge the myth that children need to be taught in order to learn. They are parents who saw firsthand how schooling can dull children's natural curiosity and exuberance and others who decided early on to enable their children to learn without school. Educators who left public school classrooms discuss launching self-directed learning centers to allow young people's innate learning instincts to flourish, and entrepreneurs explore their disillusionment with the teach-and-test approach of traditional schooling.