These free physics ebooks cover a wide range of topics including life sciences, non-traditional topics for scientists and engineers, introductory mechanics, conceptual physics and relativity. A long list of learning institutions utilize these ebooks, so rest assured the syllabus is right on the spot and definitely beneficial to those who’re into the world of physics.
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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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Bel Richardson has 5 free awesome kids and pets ebooks ready to be read. You can get your kids to read or you can just simply read to them. If you don’t have any pets yet, perhaps this is a sign to get one.
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This book emphasizes two important areas. First, it reviews the framework within which computer science and the study of algorithms and data structures must fit, in particular, the reasons why we need to study these topics and how understanding these topics helps us to become better problem solvers. Second, we review the Python programming language.
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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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Mining of Massive Datasets focuses on data mining of very large amounts of data, that is, data so large it does not fit in main memory. This book also takes an algorithmic point of view: data mining is about applying algorithms to data, rather than using data to ‘train’ a machine-learning engine of some sort.
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Why is this book different from all other books on mathematical probability and statistics? The key aspect is the book’s consistently applied approach, especially important for engineering students.
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This book teaches two different sorts of things, woven together. It teaches you how to read and write mathematical proofs. It provides a survey of basic mathematical objects, notation, and techniques which will be useful in later computer science courses. These include propositional and predicate logic, sets, functions, relations, modular arithmetic, counting, graphs, and trees.
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