Computers / Programming / Algorithms

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Computability and Complexity

by Hubie Chen

ISBN: 9780262048620

Publisher: The MIT Press

Pub Date: August 29, 2023

Forthcoming from the MIT Press

The Little Learner

A Straight Line to Deep Learning

by Daniel P. Friedman and Anurag Mendhekar

Foreword by Guy L. Steele Jr. and Peter Norvig

ISBN: 9780262546379

Publisher: The MIT Press

Pub Date: February 21, 2023

A highly accessible, step-by-step introduction to deep learning, written in an engaging, question-and-answer style.

Machine Learning from Weak Supervision

An Empirical Risk Minimization Approach

by Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai and Gang Niu

ISBN: 9780262047074

Publisher: The MIT Press

Pub Date: August 23, 2022

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.

Algorithms for Decision Making

by Mykel J. Kochenderfer, Tim A. Wheeler and Kyle H. Wray

ISBN: 9780262047012

Publisher: The MIT Press

Pub Date: August 16, 2022

A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.

Once Upon an Algorithm

How Stories Explain Computing

by Martin Erwig

ISBN: 9780262545297

Publisher: The MIT Press

Pub Date: August 9, 2022

How Hansel and Gretel, Sherlock Holmes, the movie Groundhog Day, Harry Potter, and other familiar stories illustrate the concepts of computing.

Artificial Communication

How Algorithms Produce Social Intelligence

by Elena Esposito

ISBN: 9780262046664

Publisher: The MIT Press

Pub Date: May 24, 2022

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication.

Introduction to Algorithms, fourth edition

Introduction to Algorithms

by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein

ISBN: 9780262046305

Publisher: The MIT Press

Pub Date: April 5, 2022

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.