Learning eBooks Page 43

Learn how to get the most out of Mac OS X version 10.5 Leopard with legendary teacher and a uthor Robin Williams. The Peachpit Learning Ser ies brings you the best-selling authors you know and love, on the topics that are near and dear to you, in a format that allows you to learn just what you need to know, and at your own pace. With this book, you can learn in your own way-whether it's working through the lessons from start to finish, jumping straight to step-by-step exercises about new features, or looking up just what you need to know at that moment. There are hundreds of exciting tools and hidden gems in your Macintosh. And with the gentle yet expert hand of Robin Williams guiding you along the way, you will learn to take full advantage of all...

Neural networks, decision trees, genetic classifiers: If these are AI concepts you'd like to employ in your own games-and you know your way around C++-this is the book for you! In these pages, leading game AI developer Alex J. Champandard shows you how to create a slew of autonomous synthetic creatures-in the process exploring the techniques and theories central to AI game development. Complex concepts are made easily graspable, even fun, as you apply them to the step-by-step development of your own complete bot. The focus here is on designing individual creatures, each with unique abilities and skills. Each chapter tackles a specific problem, using demos and examples to drive the points home. Best of all, Alex draws on his own real-life experiences ...

The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new optimization ideas. This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to researchers in both fields.Optimization approaches have enjoyed prominence in machine learning because of their wide applicability and attractive theoretical properties. The increasing complexity...

Over the past decade, computer-enhanced learning has increased in demand due to developments in technological aids such as multimedia presentation and the internet. In this age of technology, it is imperative for teachers to consider the importance of technological integration in the classroom. Applied E-Learning and E-Teaching in Higher Education presents international practices in the development and use of applied e-Learning and e-Teaching in the classroom in order to enhance student experience, add value to teaching practices, and illuminate best practices in the area of e-Assessment. This innovative title provides fresh insight into e-Learning and e-Teaching practices while exploring the varying roles of academic staff in adoption and applicatio...

Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to cluste...