Download or read book Little Learner Board Book Set written by Mudpuppy and published by Mudpuppy. This book was released on 2020-01-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduce your own littler learner to first words, colors, shapes, and numbers with Mudpuppy's Little Learner Board Book Set! The Board Book Set features bold, high-contrast artwork by The Indigo Bunting and includes 4 extra-sturdy board books, packaged together in a slipcase box. - 4 board books: Numbers, Shapes, Colors, First Words - Packaged in a slipcase: 4", 10 cm cube - Each book: 4 x 4 x 1", 10 x 10 x 2.5 cm - 8 chunky pages per book, 32 total - Greyboard contains 90% recycled paper. Printed with nontoxic inks. - Ages 0-5

Download or read book Little Learner Packets Alphabet written by Immacula A. Rhodes and published by Scholastic Teaching Resources. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teach the ABCs with these no-prep packets! Each targets three letters, guiding children to develop formation, recognition, and visual discrimination skills.

Download or read book Little Learner Packets Sight Words written by Violet Findley and published by Scholastic Teaching Resources. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teach the top 40 sight words with these playful, no-prep packets starring adorable monster mascots! Just photocopy and they're ready to use-at every child's own pace. Each packet spirals through several sight word activities, so kids can really memorize them. Includes handy review and assessment tools. Perfect for independent learning in class or at home.

Download or read book The Little Learner written by Daniel P. Friedman and published by MIT Press. This book was released on 2023-02-21 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: A highly accessible, step-by-step introduction to deep learning, written in an engaging, question-and-answer style. The Little Learner introduces deep learning from the bottom up, inviting students to learn by doing. With the characteristic humor and Socratic approach of classroom favorites The Little Schemer and The Little Typer, this kindred text explains the workings of deep neural networks by constructing them incrementally from first principles using little programs that build on one another. Starting from scratch, the reader is led through a complete implementation of a substantial application: a recognizer for noisy Morse code signals. Example-driven and highly accessible, The Little Learner covers all of the concepts necessary to develop an intuitive understanding of the workings of deep neural networks, including tensors, extended operators, gradient descent algorithms, artificial neurons, dense networks, convolutional networks, residual networks, and automatic differentiation. Conversational style, illustrations, and question-and-answer format make deep learning accessible and fun Incremental approach constructs advanced concepts from first principles Presents key ideas of machine learning using a small, manageable subset of the Scheme language Suitable for anyone with knowledge of high school math and some programming experience

Download or read book Smithsonian First Discoveries Little Learner written by Kaitlyn DiPerna and published by Silver Dolphin Books. This book was released on 2016-03-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Let's learn with the Smithsonian! Smithsonian First Explorers: Little Learner provides an important introduction to early concepts in a fun and lively way. From the number of seasons to the color of an orangutan, the four included board books feature colorful illustrations and photos paired with simple facts and labels.

Download or read book The Little Learner Learning about Common Things written by Jacob Abbott and published by BoD – Books on Demand. This book was released on 2023-10-23 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Brave Learner written by Julie Bogart and published by Penguin. This book was released on 2019-02-05 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publishers Weekly bestseller · A joyful and accessible homeschool guide to making learning a part of everyday life Parents who are deeply invested in their children's education can be hard on themselves and their kids. When exhausted parents are living the day-to-day grind, it can seem impossible to muster enough energy to make learning fun or interesting. How do parents nurture a love of learning amid childhood chaos, parental self-doubt, the flu, and state academic standards? In this book, Julie Bogart distills decades of experience--homeschooling her five now grown children, developing curricula, and training homeschooling families around the world--to show parents how to make education an exciting, even enchanting, experience for their kids, whether they're in elementary or high school. Enchantment is about ease, not striving. Bogart shows parents how to make room for surprise, mystery, risk, and adventure in their family's routine, so they can create an environment that naturally moves learning forward. If a child wants to pick up a new hobby or explore a subject area that the parent knows little about, it's easy to simply say "no" to end the discussion and the parental discomfort, while dousing their child's curious spark. Bogart gently invites parents to model brave learning for their kids so they, too, can approach life with curiosity, joy, and the courage to take learning risks.

Download or read book The Little Learner Learning to Think written by Jacob Abbott and published by Cullen Press. This book was released on 2013-01 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This early work by Jacob Abbott was originally published in 1856. It is intended as an educational tool in the art of thinking for those who have not yet learnt to read. The book contains a number of mini stories that are accompanied by questions to ask your little one to challenge their cognitive abilities.

Download or read book Introduction to Machine Learning written by Ethem Alpaydin and published by MIT Press. This book was released on 2014-08-22 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.

Download or read book The Little Learner written by Daniel P. Friedman and published by MIT Press. This book was released on 2023-02-21 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: A highly accessible, step-by-step introduction to deep learning, written in an engaging, question-and-answer style. The Little Learner introduces deep learning from the bottom up, inviting students to learn by doing. With the characteristic humor and Socratic approach of classroom favorites The Little Schemer and The Little Typer, this kindred text explains the workings of deep neural networks by constructing them incrementally from first principles using little programs that build on one another. Starting from scratch, the reader is led through a complete implementation of a substantial application: a recognizer for noisy Morse code signals. Example-driven and highly accessible, The Little Learner covers all of the concepts necessary to develop an intuitive understanding of the workings of deep neural networks, including tensors, extended operators, gradient descent algorithms, artificial neurons, dense networks, convolutional networks, residual networks, and automatic differentiation. Conversational style, illustrations, and question-and-answer format make deep learning accessible and fun Incremental approach constructs advanced concepts from first principles Presents key ideas of machine learning using a small, manageable subset of the Scheme language Suitable for anyone with knowledge of high school math and some programming experience

Download or read book The Art of Learning written by Josh Waitzkin and published by Simon and Schuster. This book was released on 2008-05-27 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: An eight-time national chess champion and world champion martial artist shares the lessons he has learned from two very different competitive arenas, identifying key principles about learning and performance that readers can apply to their life goals. Reprint. 35,000 first printing.

Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Download or read book Engaging the Online Learner written by Rita-Marie Conrad and published by John Wiley & Sons. This book was released on 2011-03-23 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engaging the Online Learner This updated edition includes an innovative framework the Phases of Engagement that helps learners become more involved as knowledge generators and cofacilitators of a course. The book also provides specific ideas for tested activities (collected from experienced online instructors across the nation) that can go a long way to improving online learning. Engaging the Online Learner offers the tools and information needed to: Convert classroom activities to an online environment Assess the learning that occurs as a result of collaborative activities Phase in activities that promote engagement among online learners Build peer interaction through peer partnerships and team activities Create authentic activities and implement games and simulations Praise for Engaging the Online Learner "The Phases of Engagement framework provides a road map for creating community at each phase of an online course. This book is an invaluable guide to innovative practices for online learning." Judith V. Boettcher, coauthor of The Online Teaching Survival Guide "Engagement is the heart of online learning. The authors have developed an encyclopedia of tried-and-true learner engagement activities that are authentic and ready to use." Donald P. Ely, professor emeritus, instructional design, development and evaluation in the School of Education, Syracuse University

Download or read book The Little Typer written by Daniel P. Friedman and published by MIT Press. This book was released on 2018-09-18 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to dependent types, demonstrating the most beautiful aspects, one step at a time. A program's type describes its behavior. Dependent types are a first-class part of a language, and are much more powerful than other kinds of types; using just one language for types and programs allows program descriptions to be as powerful as the programs they describe. The Little Typer explains dependent types, beginning with a very small language that looks very much like Scheme and extending it to cover both programming with dependent types and using dependent types for mathematical reasoning. Readers should be familiar with the basics of a Lisp-like programming language, as presented in the first four chapters of The Little Schemer. The first five chapters of The Little Typer provide the needed tools to understand dependent types; the remaining chapters use these tools to build a bridge between mathematics and programming. Readers will learn that tools they know from programming—pairs, lists, functions, and recursion—can also capture patterns of reasoning. The Little Typer does not attempt to teach either practical programming skills or a fully rigorous approach to types. Instead, it demonstrates the most beautiful aspects as simply as possible, one step at a time.

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 Lifelong Machine Learning Second Edition written by Zhiyuan Sun and published by Springer Nature. This book was released on 2022-06-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

Download or read book Rosie the Reader written by Joanne Baker-Smith and published by . This book was released on 2018-05 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: When Rosie, a first grader, finds out she is having a reading assessment she feels worried. Her mother helps her to see that she is working on becoming a better reader each day using various strategies. Early elementary readers will relate to Rosie's situation and be inspired by her success!