Publisher: The MIT Press

The cultural ramifications of online live streaming, including its effects on identity and power in digital spaces. Some consider live streaming—the broadcasting of video and/or audio footage live online—simply an...

A critical history of the pioneering art and technology group Mobile Image and their prescient work in communications, networking, and information systems. In The Future Is Present, Philip Glahn and Cary Levine...

An investigation of aesthetics and visualizations of planetary surfaces from an experimental media theory perspective. What if every vista, every island—indeed, every geographical feature on Earth—could be viewed as an...

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine...

An introduction to the intellectual foundations and practical utility of the recent work on fairness and machine learning. Fairness and Machine Learning introduces advanced undergraduate and graduate students to the intellectual...

The first comprehensive guide to distributional reinforcement learning, providing a new mathematical formalism for thinking about decisions from a probabilistic perspective. Distributional reinforcement learning is a new mathematical formalism for...

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the...

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve...

An insightful investigation into the mechanisms underlying the predictive functions of neural networks—and their ability to chart a new path for AI. Prediction is a cognitive advantage like few others,...

An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice. Deep learning is a fast-moving field with sweeping relevance in today's...