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Author: Martin Varga Publisher: Packt Publishing Ltd ISBN: 1783554118 Category : Computers Languages : en Pages : 430
Book Description
If you are a beginner to AndEngine, or mobile game development in general, and you are looking for a simple way to start making games for Android, this book is for you. You should already know the basics of Java programming, but no previous game development experience is required.
Author: Martin Varga Publisher: Packt Publishing Ltd ISBN: 1783554118 Category : Computers Languages : en Pages : 430
Book Description
If you are a beginner to AndEngine, or mobile game development in general, and you are looking for a simple way to start making games for Android, this book is for you. You should already know the basics of Java programming, but no previous game development experience is required.
Author: Jayme Schroeder Publisher: Packt Publishing Ltd ISBN: 1849518998 Category : Computers Languages : en Pages : 607
Book Description
A Cookbook with wide range of recipes to allow you to learn game development with AndEngine quickly and efficiently. "AndEngine for Android Game Development Cookbook" is geared toward developers who are interested in working with the most up-to-date version of AndEngine, sporting the brand new GLES 2.0 branch. The book will be helpful for developers who are attempting to break into the mobile game market with plans to release fun and exciting games while eliminating a large portion of the learning curve that is otherwise inevitable when getting into AndEngine development. This book requires a working installation of eclipse and the required libraries, including AndEngine and its various extensions set up prior to working with the recipes.
Author: Edward F. Maurina Publisher: CRC Press ISBN: 1439871124 Category : Computers Languages : en Pages : 444
Book Description
Multiplayer Gaming and Engine Coding for the Torque Game Engine shows game programmers how to get the most out of the Torque Game Engine (TGE), which is an inexpensive professional game engine available from GarageGames. This book allows people to make multiplayer games with TGE and also tells them how to improve their games by modifying the engine
Author: Ethem Alpaydin Publisher: MIT Press ISBN: 0262358069 Category : Computers Languages : en Pages : 709
Book Description
A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This substantially revised fourth edition of a comprehensive, widely used machine learning textbook offers new coverage of recent advances in the field in both theory and practice, including developments in deep learning and neural networks. The book covers a broad array of topics not usually included in introductory machine learning texts, including supervised learning, Bayesian decision theory, parametric methods, semiparametric methods, nonparametric methods, multivariate analysis, hidden Markov models, reinforcement learning, kernel machines, graphical models, Bayesian estimation, and statistical testing. The fourth edition offers a new chapter on deep learning that discusses training, regularizing, and structuring deep neural networks such as convolutional and generative adversarial networks; new material in the chapter on reinforcement learning that covers the use of deep networks, the policy gradient methods, and deep reinforcement learning; new material in the chapter on multilayer perceptrons on autoencoders and the word2vec network; and discussion of a popular method of dimensionality reduction, t-SNE. New appendixes offer background material on linear algebra and optimization. End-of-chapter exercises help readers to apply concepts learned. Introduction to Machine Learning can be used in courses for advanced undergraduate and graduate students and as a reference for professionals.
Author: Ethem Alpaydin Publisher: MIT Press ISBN: 0262325756 Category : Computers Languages : en Pages : 639
Book Description
A substantially revised third edition of a comprehensive textbook that covers a broad range of topics not often included in introductory texts. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing. Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of Introduction to Machine Learning reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program. The book can be used by both advanced undergraduates and graduate students. It will also be of interest to professionals who are concerned with the application of machine learning methods.
Author: Ronnie Tucker Publisher: Full Circle Magazine ISBN: Category : Languages : en Pages : 52
Book Description
This month: * Command & Conquer * How-To : Python, LibreOffice, and Managing Multiple Passwords With A Script * Graphics : Inkscape. * Linux Labs: Compiling a Kernel Pt 4 and Kodi Pt 2 * Review: Elementary OS * Book Review: Web Development with MongoDB and Node.js * Ubuntu Games: Borderlands 2 plus: News, Arduino, Q&A, and soooo much more.
Author: Martin Varga
Author: Martin Varga
Author: Jayme Schroeder
Author: Edward F. Maurina
Author: Ethem Alpaydin
Author: Sidney Herbert Wells
Author: Ethem Alpaydin
Author: Tom Coleman
Author: Charles Day
Author: Sidney Herbert Wells
Author: Ronnie Tucker