Download or read book Max Goes to the Library Bridge Learning written by Adria F Klein and published by . This book was released on 2009-01-01 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Max, who loves to read, discovers all the services available to him during a visit to the library.
Download or read book Making a Bridge for the Gingerbread Man written by Sue Gagliardi and published by North Star Editions, Inc.. This book was released on 2020-01-01 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readers construct and test their own bridges to help the Gingerbread Man escape a fox. With colorful spreads featuring fun facts, sidebars, and infographics, this book provides an engaging overview of the science and engineering of bridges.
Download or read book Learning Library Reading Spelling and Grammar written by Kathy Wolf and published by Mailbox Books. This book was released on 2002 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This full-color workbook is designed to help build your child's phonics, reading, and spelling skills. In addition to pages of practice, you'll find easy instructions, ready reference pages with word lists, literature selections, answer keys, and Parent Pages to make the learning quick, easy, and fun for both you and your child! The Parent Pages provide descriptions of the skills your child is expected to know in first grade. The "At Home" activities provide easy-to-implement ideas to extend the learning fun. For your convenience, pull-out answer keys are provided at the back of the book.
Download or read book BUILDING BRIDGES written by DON. PARKER and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 The World Book Encyclopedia written by and published by . This book was released on 2002 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.
Download or read book Multimodal Learning for Clinical Decision Support written by Tanveer Syeda-Mahmood and published by Springer Nature. This book was released on 2021-10-19 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.
Download or read book Still Learning to Read written by Franki Sibberson and published by Stenhouse Publishers. This book was released on 2016 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword by Colby Sharp In the decade since the first edition of Still Learning to Read was published, the prevalence of testing and the Common Core State Standards have changed what is expected of both teachers and students. The new edition of Still Learning to Read focuses on the needs of students in grades 3-6 in all aspects of reading workshop, including reading workshop, read-aloud, classroom design, digital tools, fiction, nonfiction, and close reading. The book stays true to its original beliefs of slowing down and knowing our readers, but it also takes into account the sense of urgency that changing times and standards impose on classrooms. This edition examines current trends in literacy, includes a new section on intentional instructional planning, and provides expanded examples of mini-lessons and routines that promote deeper thinking about learning. It also includes a brand new chapter on scaffolding for reading nonfiction and showcases the authors' latest thinking on close reading and text complexity. Online videos provide glimpses into classrooms as students make book choices, work in small groups, and discuss their reading notebooks. Expanded and updated book lists, recommendations for digital tools, lesson cycles, and sections specifically written for school leaders round out this foundational resource.
Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
Download or read book Patterns written by Pam Holden and published by Flying Start Books. This book was released on 2021-04-30 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: Patterns are designs that show the same thing over and over. When shapes or colors are repeated, we see a pattern. Some patterns are made by people, and some can be seen in the world around us. Some patterns are made with colors and lines. Other patterns are made with words or numbers or sounds. What patterns can you see and hear?
Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Download or read book Max the Mighty written by Rodman Philbrick and published by Scholastic Inc.. This book was released on 2013-06-25 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: A companion to Newbery Honor winning author Rodman Philbrick's Freak the Mighty. This is the dramatic, heart-wrenching tale of Max and Worm, two outsiders who turn to each other for survival. Meet Maxwell Kane, the brooding giant-of-a-boy who escaped from his basement hiding place and faced the real world in FREAK THE MIGHTY.Still grieving over the loss of his best friend, Kevin, Max finds himself defending a young, solitary girl cruelly nicknamed "Worm" because she loves to read so much.When Max gets blamed for a horrific crime, he and Worm are forced to run for their lives. They flee across America -- hunted by the police, and pursued by the mysterious man known as the Undertaker. The only way they can survive is to confront Worm's darkest and most revealing secret. And that means facing something more frightening than death itself.
Download or read book Max Reinhardt written by J. Adamson and published by Springer. This book was released on 2015-12-11 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinhardt owned The Bodley Head from 1957 to 1987, and smaller publishers like The Nonesuch Press and Reinhardt Books. This account of his life contains stories about his authors, among them Graham Greene, G.B. Shaw, Charlie Chaplin and his actor friends, illuminating the trajectory of British publishing in the second half of the twentieth century.
Download or read book Beyond Leveled Books written by Franki Sibberson and published by Taylor & Francis. This book was released on 2023-10-10 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Beyond Leveled Books, Second Edition, Franki Sibberson, Karen Szymusiak, and Lisa Koch provide even more resources to help teachers understand and meet the needs of transitional readers. The key topic of series books has been revised and enlarged, with charts outlining new series with the challenges they pose and supports readers need. New lessons have been added, and most chapters now include a related article from a literacy expert. Some of the contributors include Kathy Collins, Larry Swartz, and Mary Lee Hahn.Leveled books are an indispensable tool for teaching children to read, especially for emergent readers, but the authors of Beyond Leveled Books are sounding the alarm about the overuse and misuse of leveling and the way it restricts teacher autonomy and undermines student choice and reading engagement. The authors lay out a blueprint for using leveled books effectively within a student-centered and differentiated approach that is designed to motivate all readers, particularly transitional ones. Teaching Transitional Readers: Beyond Leveled Books is packed with resources to help teachers understand and meet the needs of transitional readers, including examples of classroom instruction, sample mini-lessons, strategies for small-group instruction, assessment techniques, and articles by literacy experts Resources for K-5 Classrooms: The book explores the uses and limitations of leveled texts in primary reading instruction, including ideas for how to organize your classroom library and a list of great books and series to use alongside leveled text in supporting new readers Gateway to Independent Reading: The authors provide explicit tools for helping students consolidate their skills and reading strategies, to read widely and deeply, to increase their vocabulary, and build critical thinking Making Reading Fun: Teach students to experience joy from reading through deeper comprehension and application Beyond Leveled Books is an essential resource for K-5 teachers looking to help all readers, including budding readers, struggling readers, transitional readers, and readers who have plateaued.
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Download or read book Resources in Education written by and published by . This book was released on 1992 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:
