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Computers / Programming / Algorithms

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Computability and Complexity

Computability and Complexity

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

The Little Learner

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

Machine Learning from Weak Supervision

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

Algorithms for Decision Making

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

Once Upon an Algorithm

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

Artificial Communication

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

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.
Information-Driven Planning and Control

Information-Driven Planning and Control

Information-Driven Planning and Control

by Silvia Ferrari and Thomas A. Wettergren

ISBN: 9780262045421

Publisher: The MIT Press

Pub Date: July 6, 2021

A unified framework for developing planning and control algorithms for active sensing, with examples of applications for modern sensor technologies.
The Constitution of Algorithms

The Constitution of Algorithms

The Constitution of Algorithms

Ground-Truthing, Programming, Formulating

by Florian Jaton

Foreword by Geoffrey C. Bowker

ISBN: 9780262542142

Publisher: The MIT Press

Pub Date: April 27, 2021

A laboratory study that investigates how algorithms come into existence.
Introduction to Quantum Algorithms via Linear Algebra

Introduction to Quantum Algorithms via Linear Algebra, second edition

Introduction to Quantum Algorithms via Linear Algebra

by Richard J. Lipton and Kenneth W. Regan

ISBN: 9780262045254

Publisher: The MIT Press

Pub Date: April 6, 2021

The second edition of a textbook that explains quantum computing in terms of elementary linear algebra, requiring no background in physics.
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