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        COMPUTERS / Programming / Algorithms

        Showing results 1-10 of 28

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        ‹123›
        Problem Solving with Python

        Problem Solving with Python

        Problem Solving with Python

        Using Computational Thinking in Everyday Life

        by Michael D. Smith

        ISBN: 9780262552844

        Publisher: The MIT Press

        Pub Date: January 20, 2026

        An innovative new way to teach computational thinking and problem solving that makes programming accessible to anyone.
        AI Fairness

        AI Fairness

        AI Fairness

        Designing Equal Opportunity Algorithms

        by Derek Leben

        ISBN: 9780262552363

        Publisher: The MIT Press

        Pub Date: May 13, 2025

        A theory of justice for AI models making decisions about employment, lending, education, criminal justice, and other important social goods.
        The Computer Always Wins

        The Computer Always Wins

        The Computer Always Wins

        A Playful Introduction to Algorithms through Puzzles and Strategy Games

        by Elliot Lichtman

        ISBN: 9780262551694

        Publisher: The MIT Press

        Pub Date: April 29, 2025

        An engaging and approachable resource for beginning-to-intermediate coders eager to learn advanced ideas in computer programming.
        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

        Illustrated by Qingqing Su

        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.
        ‹123›

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