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| free training tutorial math games: Machine Learning for Kids Dale Lane, 2021-01-19 A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code! As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+ |
| free training tutorial math games: 3D Math Primer for Graphics and Game Development, 2nd Edition Fletcher Dunn, Ian Parberry, 2011-11-02 This engaging book presents the essential mathematics needed to describe, simulate, and render a 3D world. Reflecting both academic and in-the-trenches practical experience, the authors teach you how to describe objects and their positions, orientations, and trajectories in 3D using mathematics. The text provides an introduction to mathematics for game designers, including the fundamentals of coordinate spaces, vectors, and matrices. It also covers orientation in three dimensions, calculus and dynamics, graphics, and parametric curves. |
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| free training tutorial math games: Game Theory 101 William Spaniel, 2014 Game Theory 101: The Complete Textbook is a no-nonsense, games-centered introduction to strategic form (matrix) and extensive form (game tree) games. From the first lesson to the last, this textbook introduces games of increasing complexity and then teaches the game theoretical tools necessary to solve them. Quick, efficient, and to the point, Game Theory 101: The Complete Textbook is perfect for introductory game theory, intermediate microeconomics, and political science. |
| free training tutorial math games: Teaching STEM and Common Core with Mentor Texts Anastasia Suen, Shirley L. Duke, 2013-12-02 Librarians can use this book to become leaders in their schools, collaborating with teachers to keep them abreast of resources that will facilitate the inclusion of STEM in the curriculum. Teaching STEM and Common Core with Mentor Text explains the basics of STEM (Science, Technology, Engineering, and Mathematics) and shows how librarians can become a key component in STEM education, guiding teachers and sparking interest though the books and technology inherent in their curriculum. The volume offers 20 mentor texts, plus in-depth, collaborative lesson plans linked to the Common Core Standards for K5 librarians. There are additional lessons for classroom teachers, as well as activities that can easily be done in the library or classroom. Each lesson includes mentor text information, an overview of the lesson, step-by-step lesson plans, assessment options, and extension activities. By implementing these lessons in the library, librarians will be able to cover multiple Common Core State Standards and science standards, and at the same time establish the library as a resource for teaching STEM subjects. |
| free training tutorial math games: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 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 |
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| free training tutorial math games: Making Math Workshop Work Middle School Math Man, Alex O'Connor, 2018-12-31 Are you looking to find a way to reach all of your students every day? Teacher and education blogger, Alex O'Connor, shares his practical, classroom-tested strategies to implement math workshop in the classroom. This book includes everything you need to get math workshop started in your classroom. |
| free training tutorial math games: A Course in Game Theory Martin J. Osborne, Ariel Rubinstein, 1994-07-12 A Course in Game Theory presents the main ideas of game theory at a level suitable for graduate students and advanced undergraduates, emphasizing the theory's foundations and interpretations of its basic concepts. The authors provide precise definitions and full proofs of results, sacrificing generalities and limiting the scope of the material in order to do so. The text is organized in four parts: strategic games, extensive games with perfect information, extensive games with imperfect information, and coalitional games. It includes over 100 exercises. |
| free training tutorial math games: Prediction, Learning, and Games Nicolo Cesa-Bianchi, Gabor Lugosi, 2006-03-13 This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections. |
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| free training tutorial math games: Gamify Your Classroom Matthew Farber, 2014 This book is a field guide on how to implement game-based learning and «gamification» techniques to everyday teaching. It is a survey of best practices aggregated from interviews with experts in the field. Much of the book draws on the author's experiences implementing games with his middle school students. |
| free training tutorial math games: Essential Mathematics for Games and Interactive Applications James M. Van Verth, Lars M. Bishop, 2008-05-19 Essential Mathematics for Games and Interactive Applications, 2nd edition presents the core mathematics necessary for sophisticated 3D graphics and interactive physical simulations. The book begins with linear algebra and matrix multiplication and expands on this foundation to cover such topics as color and lighting, interpolation, animation and basic game physics. Essential Mathematics focuses on the issues of 3D game development important to programmers and includes optimization guidance throughout. The new edition Windows code will now use Visual Studio.NET. There will also be DirectX support provided, along with OpenGL - due to its cross-platform nature. Programmers will find more concrete examples included in this edition, as well as additional information on tuning, optimization and robustness. The book has a companion CD-ROM with exercises and a test bank for the academic secondary market, and for main market: code examples built around a shared code base, including a math library covering all the topics presented in the book, a core vector/matrix math engine, and libraries to support basic 3D rendering and interaction. |
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| free training tutorial math games: Deep Learning with PyTorch Luca Pietro Giovanni Antiga, Eli Stevens, Thomas Viehmann, 2020-07-01 “We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production |
| free training tutorial math games: Counting Bears Learning Horizons, 2002-05 With bears everywhere, a child has to find his special bear before he can sleep. |
| free training tutorial math games: Minecraft Maths Gameplay Publishing, Minecraft Library, 2016-04-01 Who knew that math could be so cool? Minecraft is an educational game full of mathematical concepts. Inside this book, you will find fun, Minecraft themed kid-appealing math problems to solve. With over 90 math problems on topics from jungle temples to creeper battles, this book bursts with math that looks nothing like school. The book will help children practice the essential math skills they learn in school. Provides practice at all the major topics for Grades 3-5 with emphasis on division, addition, subtraction and relationships among fractions, decimals, and percentages. Spatial awareness, area and volume measurement are covered too. The idea is to make it easy for teachers or parents to supplement what kids are learning in school with complementary math problems that are more engaging and fun. |
| free training tutorial math games: Practical Linear Algebra Gerald Farin, Dianne Hansford, 2021-10-12 Linear algebra is growing in importance. 3D entertainment, animations in movies and video games are developed using linear algebra. Animated characters are generated using equations straight out of this book. Linear algebra is used to extract knowledge from the massive amounts of data generated from modern technology. The Fourth Edition of this popular text introduces linear algebra in a comprehensive, geometric, and algorithmic way. The authors start with the fundamentals in 2D and 3D, then move on to higher dimensions, expanding on the fundamentals and introducing new topics, which are necessary for many real-life applications and the development of abstract thought. Applications are introduced to motivate topics. The subtitle, A Geometry Toolbox, hints at the book’s geometric approach, which is supported by many sketches and figures. Furthermore, the book covers applications of triangles, polygons, conics, and curves. Examples demonstrate each topic in action. This practical approach to a linear algebra course, whether through classroom instruction or self-study, is unique to this book. New to the Fourth Edition: Ten new application sections. A new section on change of basis. This concept now appears in several places. Chapters 14-16 on higher dimensions are notably revised. A deeper look at polynomials in the gallery of spaces. Introduces the QR decomposition and its relevance to least squares. Similarity and diagonalization are given more attention, as are eigenfunctions. A longer thread on least squares, running from orthogonal projections to a solution via SVD and the pseudoinverse. More applications for PCA have been added. More examples, exercises, and more on the kernel and general linear spaces. A list of applications has been added in Appendix A. The book gives instructors the option of tailoring the course for the primary interests of their students: mathematics, engineering, science, computer graphics, and geometric modeling. |
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| free training tutorial math games: Forecasting: principles and practice Rob J Hyndman, George Athanasopoulos, 2018-05-08 Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. |
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| free training tutorial math games: The Use of Computer and Video Games for Learning Alice Mitchell, Carol Savill-Smith, 2004 |
| free training tutorial math games: Professor Astro Cat's Solar System Dr. Dominic Walliman, 2017-10-31 Welcome planet explorers! Did you know that Venus is covered in volcanoes? Have you ever wondered why Mars is red? Well, you're in luck! Professor Astro Cat and the gang are about to set off on a journey around our solar system--so buckle up, join the tour, and get your learn on! |
| free training tutorial math games: Mathematics for 3D Game Programming and Computer Graphics Eric Lengyel, 2020-08 Sooner or later, all game programmers run into coding issues that require an understanding of mathematics or physics concepts such as collision detection, 3D vectors, transformations, game theory, or basic calculus. Unfortunately, most programmers frequently have a limited understanding of these essential mathematics and physics concepts. MATHEMATICS AND PHYSICS FOR PROGRAMMERS, THIRD EDITION provides a simple but thorough grounding in the mathematics and physics topics that programmers require to write algorithms and programs using a non-language-specific approach. Applications and examples from game programming are included throughout, and exercises follow each chapter for additional practice. The book's companion website provides sample code illustrating the mathematical and physics topics discussed in the book. |
| free training tutorial math games: Ditch That Textbook Matt Miller, 2015-04-13 Textbooks are symbols of centuries-old education. They're often outdated as soon as they hit students' desks. Acting by the textbook implies compliance and a lack of creativity. It's time to ditch those textbooks--and those textbook assumptions about learning In Ditch That Textbook, teacher and blogger Matt Miller encourages educators to throw out meaningless, pedestrian teaching and learning practices. He empowers them to evolve and improve on old, standard, teaching methods. Ditch That Textbook is a support system, toolbox, and manifesto to help educators free their teaching and revolutionize their classrooms. |
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| free training tutorial math games: The Official Guide to the GRE General Test, Third Edition Educational Testing Service, 2016-12-29 Get the only official guide to the GRE® General Test that comes straight from the test makers! If you're looking for the best, most authoritative guide to the GRE General Test, you've found it! The Official Guide to the GRE General Test is the only GRE guide specially created by ETS--the people who actually make the test. It's packed with everything you need to do your best on the test--and move toward your graduate or business school degree. Only ETS can show you exactly what to expect on the test, tell you precisely how the test is scored, and give you hundreds of authentic test questions for practice! That makes this guide your most reliable and accurate source for everything you need to know about the GRE revised General Test. No other guide to the GRE General Test gives you all this: • Four complete, real tests--two in the book and two on CD-ROM • Hundreds of authentic test questions--so you can study with the real thing • In-depth descriptions of the Verbal Reasoning and Quantitative Reasoning measures plus valuable tips for answering each question type • Quantitative Reasoning problem-solving steps and strategies to help you get your best score • Detailed overview of the two types of Analytical Writing essay tasks including scored sample responses and actual raters' comments Everything you need to know about the test, straight from the test makers! |
| free training tutorial math games: The Art of Problem Solving, Volume 1 Sandor Lehoczky, Richard Rusczyk, 2006 ... offer[s] a challenging exploration of problem solving mathematics and preparation for programs such as MATHCOUNTS and the American Mathematics Competition.--Back cover |
| free training tutorial math games: Python Tutorial 3.11.3 Guido Van Rossum, Python Development Team, 2023-05-12 |
| free training tutorial math games: Mastering Godot Marijo Trkulja, 2021-01-09 New book by the author of the well-known titles on Godot game engine and GDScript such as GD Script, Making games with GDScript and Autonomous Cars. The book uses the MTH method for learning and is written for both beginner and experienced game developers. Beginners are advised to read a book from the beginning, and game developers to use it as a reminder and troubleshooting guide. (From book preface) If you are a complete beginner, start reading from the beginning. You will learn the basics of GDScript through the features and methods of the 2D node class. After that, go through the GDScript in the programming chapter. Later, you can learn about StaticBody2D, RigidBody2D, and KinematicBody2D. Game examples after @GDScript class and after 2D Body's chapter will be of additional help to you. In addition to the above for beginners, I advise you to watch free video tutorials on my Udemy account (Slavs Make Games M.D.C.). The book is a complete manual for making video games and comes with a lot of additional educational material. A game developer reading this book will find properties and methods for a particular class. In addition, each property and method is illustrated by a code example. At the end of the class description, is also a code example. Examples like this are often parts of computer games. After ordering the book, write to e-mail letray2@yahoo.com to get additional educational content with the book. Additional educational content includes: - free courses - Discount coupons for courses - free pdf educational materials |
| free training tutorial math games: Digital Solidarity in Education Mary T. Kolesinski, Evelyn Nelson-Weaver, Daryl Diamond, 2013-09-11 Digital Solidarity in Education is a book for educators, scholars, and students interested in better understanding both the role technology can play in schools and its potential for strengthening communities, optimizing the effects of globalization, and increasing educational access. The digital solidarity movement prioritizes the engagement and mobilization of students from diverse racial, ethnic, linguistic, and economic backgrounds, and with giftedness and/or disabilities, to utilize and apply technologies. This powerful book introduces innovative technological programs including virtual schools, e-tutoring, and interactive online communities for K-12 students that can: • increase students' knowledge and understanding of advanced concepts while reinforcing their basic skills; • reinforce students' communication in their first language while introducing second and third language possibilities; • nurture students' capabilities to think analytically, while using creative and innovative ideas to think simultaneously “outside of the box.” The experienced author team shows how collaborative partners from the private sector can assist public school systems and educators in creating access for all students to technological innovations, with a goal of increasing individual opportunities for future college and career success. Combining theoretical scholarship and research with the personal perspectives of practitioners in the field, this volume shares with readers both the nuts and bolts of using technology in education, and the importance of doing so. |
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