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Why our brains aren’t built for media multitasking, and how we can learn to live with technology in a more balanced way.
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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
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How big data is transforming the creative industries, and how those industries can use lessons from Netflix, Amazon, and Apple to fight back.
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How right-wing political entrepreneurs around the world use religious offense—both given and taken—to mobilize supporters and marginalize opponents.
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Exploring philosophy through detailed argument analyses of texts by philosophers from Plato to Strawson using a novel and transparent method of analysis.
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Financial aspects of launching and operating a high-tech company, including risk analysis, business models, U.S. securities law, financial accounting, tax issues, and stock options, explained accessibly.
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The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization.
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A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.
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An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems.
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Michael A. ArbibJames J. BonaiutoA comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition.
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Michael A. ArbibJames J. Bonaiuto
