The Learning Code
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| Author | : J. W. Wilson |
| Publisher | : |
| Total Pages | : |
| Release | : 2021-06-20 |
| Genre | : |
| ISBN | : 9781953806345 |
Discover the New Scientific Approach That is Transforming How the World Learns and Changes Behaviors. Cracking the Learning Code is a disruptive book that will completely transform your beliefs about how you learn and change behaviors, so you can reach your goals and live the life of your dreams. This easy-to-read compendium takes a deep dive into how our outdated learning strategies prevent us from living up to our own expectations and what we can do about it.Based on over thirty years of research, it is 725 pages of the world's most comprehensive reference source that unravels the mystery behind how you can more quickly learn, remember, and change.The Learning Code's cutting-edge scientific approach supports you to rapidly log information into your brain, so it is more easily retained and recalled, which allows you to live a more joyful, fulfilled, and meaningful life. Plus, this knowledge can help you have a more dramatic impact on your work, and in the world. We took a unique approach. You don't have to read the whole book to get what you need. Once a general understanding of a topic is presented, you will see special icons. They alert you when a chapter will start to go deeper into the science. Here you have a choice. You can either skip to the next topic or you can read deeper to gain a more profound view of that subject, the science behind it, and the effect it is having upon you.The Learning Code is the holy grail in the field of education and behavioral change. This knowledge needs to be available worldwide.-Dr. Jeanette Vos Cofounder, National Institute for Teaching Excellence, Coauthor, The Learning RevolutionCracking the Learning Code is the reference source for this new revolutionary approach to learning. This new way of learning enables you to easily solidify information into your long-term memory so you can retain it longer and recall it faster.
| Author | : J. W. Wilson |
| Publisher | : |
| Total Pages | : |
| Release | : 2021-05-04 |
| Genre | : |
| ISBN | : 9781953806314 |
Discover the New Scientific Approach That is Transforming How the World Learns and Changes Behaviors. Cracking the Learning Code is a disruptive book that will completely transform your beliefs about how you learn and change behaviors, so you can reach your goals and live the life of your dreams. This easy-to-read compendium takes a deep dive into how our outdated learning strategies prevent us from living up to our own expectations and what we can do about it.Based on over thirty years of research, it is 725 pages of the world's most comprehensive reference source that unravels the mystery behind how you can more quickly learn, remember, and change.The Learning Code's cutting-edge scientific approach supports you to rapidly log information into your brain, so it is more easily retained and recalled, which allows you to live a more joyful, fulfilled, and meaningful life. Plus, this knowledge can help you have a more dramatic impact on your work, and in the world. We took a unique approach. You don't have to read the whole book to get what you need. Once a general understanding of a topic is presented, you will see special icons. They alert you when a chapter will start to go deeper into the science. Here you have a choice. You can either skip to the next topic or you can read deeper to gain a more profound view of that subject, the science behind it, and the effect it is having upon you.The Learning Code is the holy grail in the field of education and behavioral change. This knowledge needs to be available worldwide.-Dr. Jeanette Vos Cofounder, National Institute for Teaching Excellence, Coauthor, The Learning RevolutionCracking the Learning Code is the reference source for this new revolutionary approach to learning. This new way of learning enables you to easily solidify information into your long-term memory so you can retain it longer and recall it faster.
| Author | : J. W. Wilson |
| Publisher | : |
| Total Pages | : |
| Release | : 2021-06-20 |
| Genre | : |
| ISBN | : 9781953806376 |
| Author | : Daniel Zingaro |
| Publisher | : No Starch Press |
| Total Pages | : 392 |
| Release | : 2021-06-29 |
| Genre | : Computers |
| ISBN | : 1718501331 |
Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.
| Author | : Marina Umaschi Bers |
| Publisher | : MIT Press |
| Total Pages | : 230 |
| Release | : 2022-03-22 |
| Genre | : Education |
| ISBN | : 026254332X |
Why children should be taught coding not as a technical skill but as a new literacy—a way to express themselves and engage with the world. Today, schools are introducing STEM education and robotics to children in ever-lower grades. In Beyond Coding, Marina Umaschi Bers lays out a pedagogical roadmap for teaching code that encompasses the cultivation of character along with technical knowledge and skills. Presenting code as a universal language, she shows how children discover new ways of thinking, relating, and behaving through creative coding activities. Today’s children will undoubtedly have the technical knowledge to change the world. But cultivating strength of character, socioeconomic maturity, and a moral compass alongside that knowledge, says Bers, is crucial. Bers, a leading proponent of teaching computational thinking and coding as early as preschool and kindergarten, presents examples of children and teachers using the Scratch Jr. and Kibo robotics platforms to make explicit some of the positive values implicit in the process of learning computer science. If we are to do right by our children, our approach to coding must incorporate the elements of a moral education: the use of narrative to explore identity and values, the development of logical thinking to think critically and solve technical and ethical problems, and experiences in the community to enable personal relationships. Through learning the language of programming, says Bers, it is possible for diverse cultural and religious groups to find points of connection, put assumptions and stereotypes behind them, and work together toward a common goal.
| Author | : Paolo Perrotta |
| Publisher | : Pragmatic Bookshelf |
| Total Pages | : 437 |
| Release | : 2020-03-31 |
| Genre | : Computers |
| ISBN | : 1680507710 |
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty. Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go. Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system. Start from the beginning and code your way to machine learning mastery. What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly. Apart from that, you'll only need your computer, and your code-adept brain.
| Author | : Scott H. Young |
| Publisher | : HarperCollins |
| Total Pages | : 278 |
| Release | : 2019-08-06 |
| Genre | : Business & Economics |
| ISBN | : 0062852744 |
Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success.
| Author | : Jeremy Howard |
| Publisher | : O'Reilly Media |
| Total Pages | : 624 |
| Release | : 2020-06-29 |
| Genre | : Computers |
| ISBN | : 1492045497 |
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 | : Yasmin B. Kafai |
| Publisher | : MIT Press |
| Total Pages | : 200 |
| Release | : 2016-09-02 |
| Genre | : Education |
| ISBN | : 026252967X |
Why every child needs to learn to code: the shift from “computational thinking” to computational participation. Coding, once considered an arcane craft practiced by solitary techies, is now recognized by educators and theorists as a crucial skill, even a new literacy, for all children. Programming is often promoted in K-12 schools as a way to encourage “computational thinking”—which has now become the umbrella term for understanding what computer science has to contribute to reasoning and communicating in an ever-increasingly digital world. In Connected Code, Yasmin Kafai and Quinn Burke argue that although computational thinking represents an excellent starting point, the broader conception of “computational participation” better captures the twenty-first-century reality. Computational participation moves beyond the individual to focus on wider social networks and a DIY culture of digital “making.” Kafai and Burke describe contemporary examples of computational participation: students who code not for the sake of coding but to create games, stories, and animations to share; the emergence of youth programming communities; the practices and ethical challenges of remixing (rather than starting from scratch); and the move beyond stationary screens to programmable toys, tools, and textiles.
| Author | : Barbara Oakley, PhD |
| Publisher | : Penguin |
| Total Pages | : 258 |
| Release | : 2018-08-07 |
| Genre | : Juvenile Nonfiction |
| ISBN | : 052550446X |
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.
