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        Computers / Programming / Algorithms

        Showing results 1-10 of 25

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        Algorithms of Resistance

        Algorithms of Resistance

        Algorithms of Resistance

        The Everyday Fight against Platform Power

        by Tiziano Bonini and Emiliano Treré

        ISBN: 9780262547420

        Publisher: The MIT Press

        Pub Date: February 6, 2024

        Forthcoming from the MIT Press
        Automata Theory

        Automata Theory

        Automata Theory

        An Algorithmic Approach

        by Javier Esparza and Michael Blondin

        ISBN: 9780262048637

        Publisher: The MIT Press

        Pub Date: October 17, 2023

        A comprehensive introduction to automata theory that uses the novel approach of viewing automata as data structures.
        Computability and Complexity

        Computability and Complexity

        Computability and Complexity

        by Hubie Chen

        ISBN: 9780262048620

        Publisher: The MIT Press

        Pub Date: August 29, 2023

        A clear, comprehensive, and rigorous introduction to the theory of computation.
        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.
        ‹123›

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