COMPUTERS / Neural Networks
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Fundamentals of Probability and Statistics for Machine Learning
Fundamentals of Probability and Statistics for Machine Learning
ISBN: 9780262049818
Publisher: The MIT Press
Pub Date: December 2, 2025
An introductory textbook for undergraduate or beginning graduate students that integrates probability and statistics with their applications in machine learning.
Shared Wisdom
Cultural Evolution in the Age of AI
ISBN: 9780262050999
Publisher: The MIT Press
Pub Date: November 11, 2025
How to build a flourishing society by using what we know about human nature to design our technology—rather than let technology shape our society.
Multi-Agent Reinforcement Learning
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.
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.
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.
Learning Kernel Classifiers
Theory and Algorithms
ISBN: 9780262546591
Publisher: The MIT Press
Pub Date: November 1, 2022
An overview of the theory and application of kernel classification methods.
The Cortex and the Critical Point
The Cortex and the Critical Point
Understanding the Power of Emergence
ISBN: 9780262544030
Publisher: The MIT Press
Pub Date: August 30, 2022
How the cerebral cortex operates near a critical phase transition point for optimum performance.
Algorithms for Decision Making
Algorithms for Decision Making
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.
Verifying Cyber-Physical Systems
Verifying Cyber-Physical Systems
A Path to Safe Autonomy
ISBN: 9780262044806
Publisher: The MIT Press
Pub Date: February 16, 2021
A graduate-level textbook that presents a unified mathematical framework for modeling and analyzing cyber-physical systems, with a strong focus on verification.
Fundamentals of Probability and Statistics for Machine Learning
Fundamentals of Probability and Statistics for Machine Learning
ISBN: 9780262049818
Publisher: The MIT Press
Pub Date: December 2, 2025
Shared Wisdom
Cultural Evolution in the Age of AI
ISBN: 9780262050999
Publisher: The MIT Press
Pub Date: November 11, 2025
Multi-Agent Reinforcement Learning
Multi-Agent Reinforcement Learning
Foundations and Modern Approaches
ISBN: 9780262049375
Publisher: The MIT Press
Pub Date: December 17, 2024
Understanding Deep Learning
ISBN: 9780262048644
Publisher: The MIT Press
Pub Date: December 5, 2023
Gradient Expectations
Structure, Origins, and Synthesis of Predictive Neural Networks
ISBN: 9780262545617
Publisher: The MIT Press
Pub Date: July 18, 2023
Learning Kernel Classifiers
Theory and Algorithms
ISBN: 9780262546591
Publisher: The MIT Press
Pub Date: November 1, 2022
The Cortex and the Critical Point
The Cortex and the Critical Point
Understanding the Power of Emergence
ISBN: 9780262544030
Publisher: The MIT Press
Pub Date: August 30, 2022
Algorithms for Decision Making
Algorithms for Decision Making
ISBN: 9780262047012
Publisher: The MIT Press
Pub Date: August 16, 2022
Verifying Cyber-Physical Systems
Verifying Cyber-Physical Systems
A Path to Safe Autonomy
ISBN: 9780262044806
Publisher: The MIT Press
Pub Date: February 16, 2021