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 Probability (Graduate Studies in Mathematics)
This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various... |  |  Relational and Algebraic Methods in Computer Science: 13th International Conference, RAMiCS 2012, Cambridge, United Kingdom, September 17-21, 2012, Proceedings (Lecture Notes in Computer Science)
This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Relational and Algebraic Methods in Computer Science, RAMiCS 13, held in Cambridge, UK, in September 2012. The 23 revised full papers presented were carefully selected from 39 submissions in the general area of relational and... |  |  Thinking as Computation: A First Course (MIT Press)
This book guides students through an exploration of the idea that thinking might be understood as a form of computation. Students make the connection between thinking and computing by learning to write computer programs for a variety of tasks that require thought, including solving puzzles, understanding natural language, recognizing objects... |
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 How We Cooperate: A Theory of Kantian Optimization
A new theory of how and why we cooperate, drawing from economics, political theory, and philosophy to challenge the conventional wisdom of game theory
Game theory explains competitive behavior by working from the premise that people are self-interested. People don’t just compete, however; they also ... |  |  Diagramming the Big Idea: Methods for Architectural Composition
Becoming an architect is a daunting task. Beyond the acquisition of new skills and procedures, beginning designers face an entirely unfamiliar mode of knowledge: design thinking.
In Diagramming the Big Idea, Jeffrey Balmer and Michael T. Swisher introduce the fundamentals of design thinking by illustrating how... |  |  Grokking Deep Learning
Summary
Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.
Purchase of the print book ... |
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