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Understanding Deep Learning
ISBN: 9780262048644
Publisher: The MIT Press
Pub Date: December 5, 2023
An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.
Fairness and Machine Learning
Limitations and Opportunities
ISBN: 9780262048613
Publisher: The MIT Press
Pub Date: November 28, 2023
An introduction to the intellectual foundations and practical utility of the recent work on fairness and machine learning.
Mind Design III
Philosophy, Psychology, and Artificial Intelligence
ISBN: 9780262546577
Publisher: The MIT Press
Pub Date: November 7, 2023
The essential reader on the philosophical foundations and implications of artificial intelligence, now comprehensively updated for the twenty-first century.
Code to Joy
Why Everyone Should Learn a Little Programming
ISBN: 9780262546393
Publisher: The MIT Press
Pub Date: October 3, 2023
How we can get more joy from our machines by telling them what our hearts desire.
Evolutionary Intelligence
How Technology Will Make Us Smarter
ISBN: 9780262048484
Publisher: The MIT Press
Pub Date: September 26, 2023
A surprising vision of how human intelligence will coevolve with digital technology and revolutionize how we think and behave.
Person, Thing, Robot
A Moral and Legal Ontology for the 21st Century and Beyond
ISBN: 9780262546157
Publisher: The MIT Press
Pub Date: September 5, 2023
Why robots defy our existing moral and legal categories and how to revolutionize the way we think about them.
The Age of Prediction
Algorithms, AI, and the Shifting Shadows of Risk
ISBN: 9780262047739
Publisher: The MIT Press
Pub Date: August 22, 2023
The power of the ever-increasing tools and algorithms for prediction and their paradoxical effects on risk.
Probabilistic Machine Learning
Advanced Topics
ISBN: 9780262048439
Publisher: The MIT Press
Pub Date: August 15, 2023
An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.
Gradient Expectations
Structure, Origins, and Synthesis of Predictive Neural Networks
ISBN: 9780262545617
Publisher: The MIT Press
Pub Date: July 18, 2023
An insightful investigation into the mechanisms underlying the predictive functions of neural networks—and their ability to chart a new path for AI.
Understanding Deep Learning
ISBN: 9780262048644
Publisher: The MIT Press
Pub Date: December 5, 2023
An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.
Fairness and Machine Learning
Limitations and Opportunities
ISBN: 9780262048613
Publisher: The MIT Press
Pub Date: November 28, 2023
An introduction to the intellectual foundations and practical utility of the recent work on fairness and machine learning.
Mind Design III
Philosophy, Psychology, and Artificial Intelligence
ISBN: 9780262546577
Publisher: The MIT Press
Pub Date: November 7, 2023
The essential reader on the philosophical foundations and implications of artificial intelligence, now comprehensively updated for the twenty-first century.
Code to Joy
Why Everyone Should Learn a Little Programming
ISBN: 9780262546393
Publisher: The MIT Press
Pub Date: October 3, 2023
How we can get more joy from our machines by telling them what our hearts desire.
Evolutionary Intelligence
How Technology Will Make Us Smarter
ISBN: 9780262048484
Publisher: The MIT Press
Pub Date: September 26, 2023
A surprising vision of how human intelligence will coevolve with digital technology and revolutionize how we think and behave.
Person, Thing, Robot
A Moral and Legal Ontology for the 21st Century and Beyond
ISBN: 9780262546157
Publisher: The MIT Press
Pub Date: September 5, 2023
Why robots defy our existing moral and legal categories and how to revolutionize the way we think about them.
The Age of Prediction
Algorithms, AI, and the Shifting Shadows of Risk
ISBN: 9780262047739
Publisher: The MIT Press
Pub Date: August 22, 2023
The power of the ever-increasing tools and algorithms for prediction and their paradoxical effects on risk.
Probabilistic Machine Learning
Advanced Topics
ISBN: 9780262048439
Publisher: The MIT Press
Pub Date: August 15, 2023
An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.
Gradient Expectations
Structure, Origins, and Synthesis of Predictive Neural Networks
ISBN: 9780262545617
Publisher: The MIT Press
Pub Date: July 18, 2023
An insightful investigation into the mechanisms underlying the predictive functions of neural networks—and their ability to chart a new path for AI.