Computers / Data Science / Machine Learning
Showing results 1-10 of 16
Filter Results OPEN +
Code to Joy
Why Everyone Should Learn a Little Programming
ISBN: 9780262546393
Publisher: The MIT Press
Pub Date: October 3, 2023
Forthcoming from the MIT Press
Probabilistic Machine Learning
Probabilistic Machine Learning
Advanced Topics
ISBN: 9780262048439
Publisher: The MIT Press
Pub Date: August 15, 2023
An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in...
Causal Analysis
Impact Evaluation and Causal Machine Learning with Applications in R
ISBN: 9780262545914
Publisher: The MIT Press
Pub Date: August 1, 2023
Forthcoming from the MIT Press
Distributional Reinforcement Learning
Distributional Reinforcement Learning
ISBN: 9780262048019
Publisher: The MIT Press
Pub Date: May 30, 2023
The first comprehensive guide to distributional reinforcement learning, providing a new mathematical formalism for thinking about decisions from a probabilistic perspective.
The Little Learner
A Straight Line to Deep Learning
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.
Microprediction
Building an Open AI Network
ISBN: 9780262047326
Publisher: The MIT Press
Pub Date: November 8, 2022
How a web-scale network of autonomous micromanagers can challenge the AI revolution and combat the high cost of quantitative business optimization.
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.
Introduction to Online Convex Optimization, second edition
Introduction to Online Convex Optimization
ISBN: 9780262046985
Publisher: The MIT Press
Pub Date: September 6, 2022
In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization....
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.
High-Performance Big Data Computing
High-Performance Big Data Computing
ISBN: 9780262046855
Publisher: The MIT Press
Pub Date: August 2, 2022
An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep learning.

Code to Joy
Why Everyone Should Learn a Little Programming
ISBN: 9780262546393
Publisher: The MIT Press
Pub Date: October 3, 2023
Probabilistic Machine Learning
Probabilistic Machine Learning
Advanced Topics
ISBN: 9780262048439
Publisher: The MIT Press
Pub Date: August 15, 2023
Causal Analysis
Impact Evaluation and Causal Machine Learning with Applications in R
ISBN: 9780262545914
Publisher: The MIT Press
Pub Date: August 1, 2023
Distributional Reinforcement Learning
Distributional Reinforcement Learning
ISBN: 9780262048019
Publisher: The MIT Press
Pub Date: May 30, 2023
The Little Learner
A Straight Line to Deep Learning
ISBN: 9780262546379
Publisher: The MIT Press
Pub Date: February 21, 2023
Microprediction
Building an Open AI Network
ISBN: 9780262047326
Publisher: The MIT Press
Pub Date: November 8, 2022
Learning Kernel Classifiers
Theory and Algorithms
ISBN: 9780262546591
Publisher: The MIT Press
Pub Date: November 1, 2022
Introduction to Online Convex Optimization, second edition
Introduction to Online Convex Optimization
ISBN: 9780262046985
Publisher: The MIT Press
Pub Date: September 6, 2022
Algorithms for Decision Making
Algorithms for Decision Making
ISBN: 9780262047012
Publisher: The MIT Press
Pub Date: August 16, 2022
High-Performance Big Data Computing
High-Performance Big Data Computing
ISBN: 9780262046855
Publisher: The MIT Press
Pub Date: August 2, 2022