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.
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.
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.
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
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.
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
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 258 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.
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:
Download or read book The First 20 Hours written by Josh Kaufman and published by Penguin. This book was released on 2013-06-13 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forget the 10,000 hour rule— what if it’s possible to learn the basics of any new skill in 20 hours or less? Take a moment to consider how many things you want to learn to do. What’s on your list? What’s holding you back from getting started? Are you worried about the time and effort it takes to acquire new skills—time you don’t have and effort you can’t spare? Research suggests it takes 10,000 hours to develop a new skill. In this nonstop world when will you ever find that much time and energy? To make matters worse, the early hours of practicing something new are always the most frustrating. That’s why it’s difficult to learn how to speak a new language, play an instrument, hit a golf ball, or shoot great photos. It’s so much easier to watch TV or surf the web . . . In The First 20 Hours, Josh Kaufman offers a systematic approach to rapid skill acquisition— how to learn any new skill as quickly as possible. His method shows you how to deconstruct complex skills, maximize productive practice, and remove common learning barriers. By completing just 20 hours of focused, deliberate practice you’ll go from knowing absolutely nothing to performing noticeably well. Kaufman personally field-tested the methods in this book. You’ll have a front row seat as he develops a personal yoga practice, writes his own web-based computer programs, teaches himself to touch type on a nonstandard keyboard, explores the oldest and most complex board game in history, picks up the ukulele, and learns how to windsurf. Here are a few of the simple techniques he teaches: Define your target performance level: Figure out what your desired level of skill looks like, what you’re trying to achieve, and what you’ll be able to do when you’re done. The more specific, the better. Deconstruct the skill: Most of the things we think of as skills are actually bundles of smaller subskills. If you break down the subcomponents, it’s easier to figure out which ones are most important and practice those first. Eliminate barriers to practice: Removing common distractions and unnecessary effort makes it much easier to sit down and focus on deliberate practice. Create fast feedback loops: Getting accurate, real-time information about how well you’re performing during practice makes it much easier to improve. Whether you want to paint a portrait, launch a start-up, fly an airplane, or juggle flaming chainsaws, The First 20 Hours will help you pick up the basics of any skill in record time . . . and have more fun along the way.
Download or read book Boost Emotional Intelligence in Students written by Maurice J. Elias and published by Free Spirit Publishing. This book was released on 2019-01-28 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop emotional intelligence and strengthen social emotional skills in adolescents with this practical, hands-on resource. Helping students develop emotional intelligence (EQ) and social emotional skills is essential to preparing them for success in college, careers, and adult life. This practical resource for educators explains what emotional intelligence is and why it’s important for all students. Boost Emotional Intelligence in Students lays out detailed yet flexible guidelines for teaching fundamental EQ and social emotional skills in an intentional and focused way. The book is split into three modules, which correspond to three main skill areas: Self-awareness and self-management Social awareness and relationship skills Responsible decision-making and problem-solving Each module features ten hands-on, research-based lessons, which are focused on a critical EQ concept and centered around productive and respectful discussion. All lessons are designed to take approximately 35 minutes each but can easily be adapted to meet the specific needs of a school or group as they work to develop emotional intelligence and social emotional skills in their students. Digital content includes reproducible forms to use with students.
Download or read book School is Dead written by Everett Reimer and published by . This book was released on 1973 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fluent Forever written by Gabriel Wyner and published by Harmony. This book was released on 2014-08-05 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: NATIONAL BESTSELLER • For anyone who wants to learn a foreign language, this is the method that will finally make the words stick. “A brilliant and thoroughly modern guide to learning new languages.”—Gary Marcus, cognitive psychologist and author of the New York Times bestseller Guitar Zero At thirty years old, Gabriel Wyner speaks six languages fluently. He didn’t learn them in school—who does? Rather, he learned them in the past few years, working on his own and practicing on the subway, using simple techniques and free online resources—and here he wants to show others what he’s discovered. Starting with pronunciation, you’ll learn how to rewire your ears and turn foreign sounds into familiar sounds. You’ll retrain your tongue to produce those sounds accurately, using tricks from opera singers and actors. Next, you’ll begin to tackle words, and connect sounds and spellings to imagery rather than translations, which will enable you to think in a foreign language. And with the help of sophisticated spaced-repetition techniques, you’ll be able to memorize hundreds of words a month in minutes every day. This is brain hacking at its most exciting, taking what we know about neuroscience and linguistics and using it to create the most efficient and enjoyable way to learn a foreign language in the spare minutes of your day.
Download or read book Why Don t Students Like School written by Daniel T. Willingham and published by John Wiley & Sons. This book was released on 2009-06-10 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easy-to-apply, scientifically-based approaches for engaging students in the classroom Cognitive scientist Dan Willingham focuses his acclaimed research on the biological and cognitive basis of learning. His book will help teachers improve their practice by explaining how they and their students think and learn. It reveals-the importance of story, emotion, memory, context, and routine in building knowledge and creating lasting learning experiences. Nine, easy-to-understand principles with clear applications for the classroom Includes surprising findings, such as that intelligence is malleable, and that you cannot develop "thinking skills" without facts How an understanding of the brain's workings can help teachers hone their teaching skills "Mr. Willingham's answers apply just as well outside the classroom. Corporate trainers, marketers and, not least, parents -anyone who cares about how we learn-should find his book valuable reading." —Wall Street Journal
Download or read book How Humans Learn written by Joshua Eyler and published by Teaching and Learning in Highe. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even on good days, teaching is a challenging profession. One way to make the job of college instructors easier, however, is to know more about the ways students learn. How Humans Learn aims to do just that by peering behind the curtain and surveying research in fields as diverse as developmental psychology, anthropology, and cognitive neuroscience for insight into the science behind learning. The result is a story that ranges from investigations of the evolutionary record to studies of infants discovering the world for the first time, and from a look into how our brains respond to fear to a reckoning with the importance of gestures and language. Joshua R. Eyler identifies five broad themes running through recent scientific inquiry--curiosity, sociality, emotion, authenticity, and failure--devoting a chapter to each and providing practical takeaways for busy teachers. He also interviews and observes college instructors across the country, placing theoretical insight in dialogue with classroom experience.
Download or read book Feel Confident written by Cheri J. Meiners and published by Free Spirit Publishing. This book was released on 2013-09-03 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empower children to recognize their individual worth and develop confidence in themselves, their abilities, and the choices they make. Children learn that they can speak up, expect and show respect, try new things, and believe in themselves. Confidence-building skills of accepting yourself, asking for what you need, making decisions, solving problems, and communicating are also discussed. Young children will respond to the true-to-life situations and colorful illustrations. Being the Best Me Series: From the author of the popular Learning to Get Along® books come the first two books in this one-of-a-kind character-development series. Each book focuses on specific attitude or character traits—such as optimism, courage, resilience, imagination, personal power, decision-making, and work ethics. Also included are discussion questions, games, activities, and additional information adults can use to reinforce the concepts children are learning. Filled with diversity, these read-aloud books will be welcome in school, home, and childcare settings.
Download or read book The ABCs of How We Learn 26 Scientifically Proven Approaches How They Work and When to Use Them written by Daniel L. Schwartz and published by W. W. Norton & Company. This book was released on 2016-07-26 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Selected as one of NPR's Best Books of 2016, this book offers superior learning tools for teachers and students, from A to Z. An explosive growth in research on how people learn has revealed many ways to improve teaching and catalyze learning at all ages. The purpose of this book is to present this new science of learning so that educators can creatively translate the science into exceptional practice. The book is highly appropriate for the preparation and professional development of teachers and college faculty, but also parents, trainers, instructional designers, psychology students, and simply curious folks interested in improving their own learning. Based on a popular Stanford University course, The ABCs of How We Learn uses a novel format that is suitable as both a textbook and a popular read. With everyday language, engaging examples, a sense of humor, and solid evidence, it describes 26 unique ways that students learn. Each chapter offers a concise and approachable breakdown of one way people learn, how it works, how we know it works, how and when to use it, and what mistakes to avoid. The book presents learning research in a way that educators can creatively translate into exceptional lessons and classroom practice. The book covers field-defining learning theories ranging from behaviorism (R is for Reward) to cognitive psychology (S is for Self-Explanation) to social psychology (O is for Observation). The chapters also introduce lesser-known theories exceptionally relevant to practice, such as arousal theory (X is for eXcitement). Together the theories, evidence, and strategies from each chapter can be combined endlessly to create original and effective learning plans and the means to know if they succeed.
Download or read book An Introduction to Statistical Learning written by Gareth James and published by Springer Nature. This book was released on 2023-08-01 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
