Free Learning
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Free Learning
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Author : Ross Parker
language : en
Publisher: Routledge
Release Date : 2021-11-29
Free Learning written by Ross Parker and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-29 with Education categories.
This edited volume explores, investigates and analyses Free Learning – an innovative approach to student-directed learning which seeks to challenge educational norms from within. The volume is framed by a recognition of the urgent need for transformation of our educational systems. In traditional education, students work through a teacher-directed linear syllabus, at a pace dictated by the teacher, with summative assessment hurdles at too-frequent intervals. Progression and direction are determined solely by the teacher. In Free Learning, students determine their own learning pathway through a non-linear syllabus, which can be visualised as a mind map. Students may then complete as many units as they either have time for or are interested in, moving from one unit to another on the basis of having formatively satisfied the demands of each individual unit. This volume showcases the value and potential of Free Learning in contemporary practice and is intended to bridge theory and practice. The structure of the book reflects this complementary fit, with contributions from practitioners describing Free Learning as a learning and teaching tool in a range of educational settings, subjects and age-ranges. It also contains qualitative and quantitative analyses by researchers exploring the uptake of Free Learning and students’ responses to the methodology. Researchers and educators who are interested in student-directed methodologies, especially in Asia, will find that the practical accounts and analyses of Free Learning contained within provide much food for thought with regard to redefining student learning.
Deep Learning
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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.
Free To Learn
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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.
Deep Learning For Coders With Fastai And Pytorch
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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
Free Range Learning
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Author : Laura Grace Weldon
language : en
Publisher: Hohm Press
Release Date : 2010
Free Range Learning written by Laura Grace Weldon and has been published by Hohm Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Education categories.
This book presents eye-opening data about the meaning and importance of natural learning. This data -- from neurologists, child development specialists, anthropologists, educators, historians and business innovators-turns many current assumptions about school-based education upside down. The book's factual approach is balanced by quotes and stories from over 100 home-schoolers from the U.S., Canada, Germany, Australia, Ireland, New Zealand, Mexico, India and Singapore. These parents and children are the true authorities on alternative learning. Written for interested parents and educators, this book will also encourage and excite those who want their children to have the benefits, but who are timid to approach home-schooling. This is the only book anyone needs to make the choice and start the process of home-schooling children, and is applicable for young people from pre-school through high school. Studies indicate that adults who were home-schooled are: More likely to vote, volunteer and be involved in their communities than graduates of conventional schools; Read more books than average; More likely to have taken college level courses than the population as a whole; Tend to be independent and self-reliant. The book presents the simple choice to home-school as something much more significant than a homespun method of education. Weldon asks us to consider this choice as participation in a cultural shift toward redefining success; and as a form of collective intelligence with major implications for the future of education. Children are naturally "free range" learners, she says. They build knowledge and skills naturally, within the full spectrum of their daily lives, while observing, exploring and pursuing their interests. This book guides any parent or educator in assisting that process. The book demonstrates: That children and teens can best be nurtured outside of restrictive educational systems; That we can restore what is heart-centred and meaningful back to a central place in education; How networking with others enriches the learning experience for our children; How home-schooling has become a force of positive social change-making the community a better place for everyone.
An Introduction To Statistical Learning
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Author : Gareth James
language : en
Publisher: Springer Nature
Release Date : 2023-08-01
An Introduction To Statistical Learning written by Gareth James and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-01 with Mathematics categories.
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.
Learning How To Learn
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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.
Fun And Free E Learning On The Web
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Author : Angie Simmons
language : en
Publisher:
Release Date : 2011
Fun And Free E Learning On The Web written by Angie Simmons and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Education, Primary categories.
Too much information ¿ too little time? Here is the book you need to help you deal with the vast array of online educational resources. As well as identifying high-quality resources that you can access and use for free, it shares many well-tested ideas on how to harness them for effective teaching and learning. With an emphasis on fun and free, it also offers the enticing advantages of motivating students using a medium they can relate to and going easy on the school budget.
Learning And The Free Spirit
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Author : Raymond Walters
language : en
Publisher:
Release Date : 1928
Learning And The Free Spirit written by Raymond Walters and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1928 with Education categories.
Speed Reading Faster Learning For Kids
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Author : Heiko Boos
language : en
Publisher: via tolino media
Release Date : 2022-07-06
Speed Reading Faster Learning For Kids written by Heiko Boos and has been published by via tolino media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-06 with Education categories.
The bestseller from germany is now also available in english! The system for faster reading and better grades! For your way through middle school, high school and university. You have to learn to learn first! Unfortunately nobody teaches you that in school... Sounds crazy at first, but without a suitable system you waste a lot of time! How much time have I wasted as a student? In hindsight, it's unimaginable. If I had worked on my reading speed first and then had the great methods at hand that I present in this book, I could have saved myself a lot of stress, anger and even tears. So that you (or your child) can read and learn faster, I have summarized very good methods on the two important topics in one book! With unsuitable methods you will always fall short of your potential. With the techniques presented in the book, you will learn to at least double your reading speed. Many different learning techniques are presented for you. If you want to find out why many of your classmates (or fellow students) get better grades and why many spend less time on it, then read this book now!