Computers
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Foundations of Computer Vision
ISBN: 9780262048972
Publisher: The MIT Press
Pub Date: February 20, 2024
Forthcoming from the MIT Press
Speculative Everything
Design, Fiction, and Social Dreaming
ISBN: 9780262548687
Publisher: The MIT Press
Pub Date: February 6, 2024
How to use design as a tool to create not only things but ideas, to speculate about possible futures.
Digital Suffragists
Women, the Web, and the Future of Democracy
ISBN: 9780262548564
Publisher: The MIT Press
Pub Date: February 6, 2024
Why women's voices are outnumbered online and what we can do about it, by a New York Times comment moderator.
The AI Playbook
Mastering the Rare Art of Machine Learning Deployment
ISBN: 9780262048903
Publisher: The MIT Press
Pub Date: February 6, 2024
In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it.
Algorithms of Resistance
The Everyday Fight against Platform Power
ISBN: 9780262547420
Publisher: The MIT Press
Pub Date: February 6, 2024
Forthcoming from the MIT Press
Autographic Design
The Matter of Data in a Self-Inscribing World
ISBN: 9780262547024
Publisher: The MIT Press
Pub Date: December 19, 2023
An ambitious vision for design based on the premise that data is material, not abstract.
Playful Wearables
Understanding the Design Space of Wearables for Games and Related Experiences
ISBN: 9780262546911
Publisher: The MIT Press
Pub Date: December 12, 2023
An expert introduction to the world of “playful wearables” and their design, with a wide range of engaging examples, case studies, and exercises.
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.
Foundations of Computer Vision
ISBN: 9780262048972
Publisher: The MIT Press
Pub Date: February 20, 2024
Forthcoming from the MIT Press
Speculative Everything
Design, Fiction, and Social Dreaming
ISBN: 9780262548687
Publisher: The MIT Press
Pub Date: February 6, 2024
How to use design as a tool to create not only things but ideas, to speculate about possible futures.
Digital Suffragists
Women, the Web, and the Future of Democracy
ISBN: 9780262548564
Publisher: The MIT Press
Pub Date: February 6, 2024
Why women's voices are outnumbered online and what we can do about it, by a New York Times comment moderator.
The AI Playbook
Mastering the Rare Art of Machine Learning Deployment
ISBN: 9780262048903
Publisher: The MIT Press
Pub Date: February 6, 2024
In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it.
Algorithms of Resistance
The Everyday Fight against Platform Power
ISBN: 9780262547420
Publisher: The MIT Press
Pub Date: February 6, 2024
Forthcoming from the MIT Press
Autographic Design
The Matter of Data in a Self-Inscribing World
ISBN: 9780262547024
Publisher: The MIT Press
Pub Date: December 19, 2023
An ambitious vision for design based on the premise that data is material, not abstract.
Playful Wearables
Understanding the Design Space of Wearables for Games and Related Experiences
ISBN: 9780262546911
Publisher: The MIT Press
Pub Date: December 12, 2023
An expert introduction to the world of “playful wearables” and their design, with a wide range of engaging examples, case studies, and exercises.
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.