Written by two of the leading researchers in the area, this engaging and accessible book is unique in covering the diverse foundations of multiagent systems, including logic. Its extensive treatment of the interplay between computer science and game theory will define how the subject should be taught.
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This book is meant to provide an introduction to vectors, matrices, and least squares methods, basic topics in applied linear algebra. Our goal is to give the beginning student, with little or no prior exposure to linear algebra, a good grounding in the basic ideas, as well as an appreciation for how they are used in many applications.
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The main features of this book is the strong emphasis on algorithms. The book contains more than 700 exercises and a number of applications as well as sections on highly applicable subjects.
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This book will be useful for those in the scientific community who gather data and seek tools for analyzing and interpreting data. It will be a valuable reference for scientists in a variety of disciplines and can serve as a textbook for a graduate course in exploratory data analysis as well as a supplemental text in courses on research methodology, pattern recognition, image processing, and re-mote sensing.
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In computer science, beginning courses are trapped in an approach that was already ten years out of date by the time it was canonized in the mid 80s. This book points the way out of the trap. It emphasizes programming as a way to express ideas, rather than just a way to get computers to perform tasks.
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This online ebook is a companion to the influential computer-science text Structure and Interpretation of Computer Programs, by Abelson, Sussman, and Sussman. Its purpose is to demonstrate the Web’s potential to be a channel for innovative support for textbook users.
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The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. The typical text on Bayesian inference involves two to three chapters on probability theory, then enters what Bayesian inference is.
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400 free ebooks, broken up into sometimes online chapters, sometimes downloadable PDF and EPUB for your reading pleasure. Some are old, some are recent, but knowledge has no expiry date, so you’ll most definitely find some gold nuggets hidden somewhere in this list.
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