Free To Learn

Author : Peter Gray
Publisher : Basic Books
ISBN 13 : 0465037917
Total Pages : 227 pages
Book Rating : 4.19/5 ( download)

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Download or read book Free to Learn written by Peter Gray and published by Basic Books. This book was released on 2013-03-05 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Orly Lobel
Publisher : Yale University Press
ISBN 13 : 0300166273
Total Pages : 290 pages
Book Rating : 4.79/5 ( download)

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Download or read book Talent Wants to Be Free written by Orly Lobel and published by Yale University Press. This book was released on 2013-09-30 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a set of positive changes in corporate strategies, industry norms, regional policies, and national laws that will incentivize talent flow, creativity, and growth.

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.73/5 ( download)

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Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Holt
Publisher : Da Capo Lifelong Books
ISBN 13 : 0201484048
Total Pages : 326 pages
Book Rating : 4.45/5 ( download)

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Download or read book How Children Learn written by John Holt and published by Da Capo Lifelong Books. This book was released on 1995-09-04 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Pam Laricchia
Publisher :
ISBN 13 : 9780987733320
Total Pages : 122 pages
Book Rating : 4.2X/5 ( download)

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Download or read book Free to Learn written by Pam Laricchia and published by . This book was released on 2012 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Marcia L. Conner
Publisher : John Wiley & Sons
ISBN 13 : 0471517240
Total Pages : 253 pages
Book Rating : 4.45/5 ( download)

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Download or read book Learn More Now written by Marcia L. Conner and published by John Wiley & Sons. This book was released on 2004-04-02 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Leaders at all levels will benefit from Marcia Conner's amazing book of strategies, exercises, and stories to maximize learning. This book is a must for your reading list this year."--Ken Blanchard, Chief Spiritual Officer, Ken Blanchard Companies "A road map to reawakening the natural process of integrating learning into our daily lives."--Kathy O'Driscoll, Human Resources Director, Microsoft "Finally a publication that genuinely respects learner diversity as much as it offers tangible ideas for dealing with it....Marcia L. Conner is a true learning champion."--Gunnar Bruckner, former Chief Learning Officer, United Nations Development Programme We're all born with a vast capacity to explore and learn. Unfortunately, many of us never discover what we're truly capable of. What if you could reclaim your birthright and tap into your full potential for learning? Imagine how much you could accomplish--how much you could become. Here's your chance to find out. Through her innovative learning programs, Marcia Conner has helped thousands of people unleash the power of their intuition to rediscover the joy of learning and to expand their personal and professional productivity. In Learn More Now, she distills her renowned learning solutions into an easy-to-use ten-step program that will help you: * Learn better, smarter, and faster * Identify your learning style and your motivational style * Synthesize your experiences, perspectives, thoughts, and actions * Develop new pathways in your brain to increase your opportunities * Absorb facts on the fly and overcome information overload * Optimize your environment for concentrating and learning Packed with fun, easy-to-do action steps and exercises, Learn More Now will help you discover how to be more focused and aware, work in step with your natural rhythms, be improvisational in your approach, and transform your life into a learning adventure.

Author : Jeremy Howard
Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.96/5 ( download)

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Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Barbara Oakley, PhD
Publisher : Penguin
ISBN 13 : 052550446X
Total Pages : 256 pages
Book Rating : 4.67/5 ( download)

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Download or read book Learning How to Learn written by Barbara Oakley, PhD and published by Penguin. This book was released on 2018-08-07 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Carl R. Rogers
Publisher :
ISBN 13 :
Total Pages : 372 pages
Book Rating : 4./5 ( download)

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Download or read book Freedom to Learn written by Carl R. Rogers and published by . This book was released on 1969 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.68/5 ( download)

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Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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