Computers / Computer Science
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Learning Theory from First Principles
ISBN: 9780262049443
Publisher: The MIT Press
Pub Date: December 24, 2024
A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory.
Multi-Agent Reinforcement Learning
Foundations and Modern Approaches
ISBN: 9780262049375
Publisher: The MIT Press
Pub Date: December 17, 2024
The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL's models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.
Monoidal Category Theory
Unifying Concepts in Mathematics, Physics, and Computing
ISBN: 9780262049399
Publisher: The MIT Press
Pub Date: November 5, 2024
A comprehensive, cutting-edge, and highly readable textbook that makes category theory and monoidal category theory accessible to students across the sciences.
Cryptography
ISBN: 9780262549028
Publisher: The MIT Press
Pub Date: October 22, 2024
A broad introduction to cryptography—what it is, how it really works, what its future holds, and why every informed citizen should understand its basics.
Veridical Data Science
The Practice of Responsible Data Analysis and Decision Making
ISBN: 9780262049191
Publisher: The MIT Press
Pub Date: October 15, 2024
Using real-world data case studies, this innovative and accessible textbook introduces an actionable framework for conducting trustworthy data science.
Agents in the Long Game of AI
Computational Cognitive Modeling for Trustworthy, Hybrid AI
ISBN: 9780262549424
Publisher: The MIT Press
Pub Date: October 1, 2024
A novel approach to hybrid AI aimed at developing trustworthy agent collaborators.
An Introduction to Real-Time Computing for Mechanical Engineers
A Lab-Based Approach
ISBN: 9780262548762
Publisher: The MIT Press
Pub Date: September 3, 2024
A comprehensive introduction to real-time computing for mechanical engineers and engineering students that integrates theory and application.
Moral Codes
Designing Alternatives to AI
ISBN: 9780262548717
Publisher: The MIT Press
Pub Date: August 6, 2024
Why the world needs less AI and better programming languages.
Bits to Bitcoin
How Our Digital Stuff Works
ISBN: 9780262551076
Publisher: The MIT Press
Pub Date: February 6, 2024
An accessible guide to our digital infrastructure, explaining the basics of operating systems, networks, security, and other topics for the general reader.
Learning Theory from First Principles
ISBN: 9780262049443
Publisher: The MIT Press
Pub Date: December 24, 2024
A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory.
Multi-Agent Reinforcement Learning
Foundations and Modern Approaches
ISBN: 9780262049375
Publisher: The MIT Press
Pub Date: December 17, 2024
The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL's models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.
Monoidal Category Theory
Unifying Concepts in Mathematics, Physics, and Computing
ISBN: 9780262049399
Publisher: The MIT Press
Pub Date: November 5, 2024
A comprehensive, cutting-edge, and highly readable textbook that makes category theory and monoidal category theory accessible to students across the sciences.
Cryptography
ISBN: 9780262549028
Publisher: The MIT Press
Pub Date: October 22, 2024
A broad introduction to cryptography—what it is, how it really works, what its future holds, and why every informed citizen should understand its basics.
Veridical Data Science
The Practice of Responsible Data Analysis and Decision Making
ISBN: 9780262049191
Publisher: The MIT Press
Pub Date: October 15, 2024
Using real-world data case studies, this innovative and accessible textbook introduces an actionable framework for conducting trustworthy data science.
Agents in the Long Game of AI
Computational Cognitive Modeling for Trustworthy, Hybrid AI
ISBN: 9780262549424
Publisher: The MIT Press
Pub Date: October 1, 2024
A novel approach to hybrid AI aimed at developing trustworthy agent collaborators.
An Introduction to Real-Time Computing for Mechanical Engineers
A Lab-Based Approach
ISBN: 9780262548762
Publisher: The MIT Press
Pub Date: September 3, 2024
A comprehensive introduction to real-time computing for mechanical engineers and engineering students that integrates theory and application.
Moral Codes
Designing Alternatives to AI
ISBN: 9780262548717
Publisher: The MIT Press
Pub Date: August 6, 2024
Why the world needs less AI and better programming languages.
Bits to Bitcoin
How Our Digital Stuff Works
ISBN: 9780262551076
Publisher: The MIT Press
Pub Date: February 6, 2024
An accessible guide to our digital infrastructure, explaining the basics of operating systems, networks, security, and other topics for the general reader.