Teaches matrix algebra, allowing the student to learn the material by actually working with matrix objects in modern computer environment of R. This book provides an overview of matrix theory without being bogged down in proofs or tedium.

A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, image, text, and sequence applicationsBook Description Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models. You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you’ll explore CNN, recurrent neural network (RNN), and GAN models and their application. By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL. What you will learnUnderstand the key mathematical concepts for building neural network modelsDiscover core multivariable calculus conceptsImprove the performance of deep learning models using optimization techniquesCover optimization algorithms, from basic stochastic gradient descent (SGD) to the advanced Adam optimizerUnderstand computational graphs and their importance in DLExplore the backpropagation algorithm to reduce output errorCover DL algorithms such as convolutional neural networks (CNNs), sequence models, and generative adversarial networks (GANs)Who this book is for This book is for data scientists, machine learning developers, aspiring deep learning developers, or anyone who wants to understand the foundation of deep learning by learning the math behind it. Working knowledge of the Python programming language and machine learning basics is required.

Put math manipulatives to work in your classroom and make teaching and learning math both meaningful and productive. Mastering Math Manipulatives includes everything you need to integrate math manipulatives—both concrete and virtual—into math learning. Each chapter of this richly illustrated, easy-to-use guide focuses on a different powerful tool, such as base ten blocks, fraction manipulatives, unit squares and cubes, Cuisenaire Rods, Algebra tiles and two-color counters, geometric strips and solids, geoboards, and others, and includes a set of activities that demonstrate the many ways teachers can leverage manipulatives to model and reinforce math concepts for all learners. It features: · Classroom strategies for introducing math manipulatives, including commercial, virtual, and hand-made manipulatives, into formal math instruction. · Step-by-step instructions for over 70 activities that work with any curriculum, including four-color photos, printable work mats, and demonstration videos. · Handy charts that sort activities by manipulative type, math topic, domains aligned with standards, and grade-level appropriateness.

Each lesson includes teaching suggestions, list of materials needed, objectives, plus reproducible student pages.

Fun-filled math problems that put the emphasis on problem-solving strategies and reasoning The Algebra Teacher's Activity-a-Day offers activities for test prep, warm-ups, down time, homework, or just for fun. These unique activities are correlated with national math education standards and emphasize problem-solving strategies and logical reasoning skills. In many of the activities, students are encouraged to communicate their different approaches to other students in the class. Filled with dozens of quick and fun algebra activities that can be used inside and outside the classroom Designed to help students practice problem-solving and algebra skills The activities address a wide range of topics, skills, and ability levels, so teachers can choose whichever best suit the students' needs.

Math write and wipe book for toddlers ages 4+ Support your child’s educational journey with Spectrum’s dry erase Hands-On Preschool Math Workbook that teaches basic math skills to preschoolers. Pre k workbooks age 4-5 are a great way for preschoolers to learn basic skills such as numbers and counting, addition, subtraction, shapes, patterns, and more through a variety of dry erase and math manipulative toddler learning activities that are both fun AND educational! Why You’ll Love This Preschool Workbook Engaging and educational dry erase preschool learning activities. “Tracing numbers”, “Count and color”, and “Adding and subtracting with math manipulatives” are a few of the fun toddler learning activities that incorporate math into everyday settings to help inspire learning into your child’s classroom or homeschool curriculum. Testing progress along the way. An answer key is included in the back of the preschool activity book to track your child’s progress along the way before moving on to new and exciting math activities. Practically sized for every activity. The 96-page math preschool book is sized at about 8 3⁄4” x 11”—giving your child plenty of space to complete each exercise. About Spectrum For more than 20 years, Spectrum has provided solutions for parents who want to help their children get ahead, and for teachers who want their students to meet and exceed set learning goals—providing workbooks that are a great resource for both homeschooling and classroom curriculum. The Dry Erase Math Pre K Workbook Contains: Dry erase math activities Dry erase pen, panels, graphic organizers, and hands-on math manipulatives An answer key

Algebraic Reasoning is a textbook designed to provide high school students with a conceptual understanding of algebraic functions and to prepare them for Algebra 2..

"A complete resource for using algebra tiles to help students visualize algebra, build and solve equations, and gain comfort and skill with algebraic expressions. Teacher's notes and reproducible activities cover integer operations, linear expressions, quadratic expressions, perimeter, arrays, binomials and more. Each topic progresses through objective prerequisites, getting started and closing the activity." -- (p.4) of cover.

Lay a solid foundation of algebra proficiency with over 155 hands-on games and activities. To complement the natural process of learning, each activity builds on the previous one-- from concrete to pictorial to abstract. Dr. Thompson's unique three-step approach encourages students to first recognize patterns; then use diagrams, tables, and graphs to illustrate algebraic concepts; and finally, apply what they've learned through cooperative games, puzzles, problems, and activities using a graphic calculator and computer. You'll find each activity has complete teacher directions, lists of materials needed, and helpful examples for discussion, homework, and quizzes. Most activities include time-saving reproducible worksheets for use with individual students, small groups, or the entire class. This ready-to-use resource contains materials sufficient for a two-semester course in Algebra I and can be adapted for advanced students as well as students with dyslexia.