Computers / Data Science / Machine Learning

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Code to Joy

Why Everyone Should Learn a Little Programming

by Michael L. Littman

ISBN: 9780262546393

Publisher: The MIT Press

Pub Date: October 3, 2023

Forthcoming from the MIT Press

Probabilistic Machine Learning

Advanced Topics

by Kevin P. Murphy

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

by Martin Huber

ISBN: 9780262545914

Publisher: The MIT Press

Pub Date: August 1, 2023

Forthcoming from the MIT Press

Distributional Reinforcement Learning

by Marc G. Bellemare, Will Dabney and Mark Rowland

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

by Daniel P. Friedman and Anurag Mendhekar

Foreword by Guy L. Steele Jr. and Peter Norvig

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

by Peter Cotton

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

by Ralf Herbrich

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

by Elad Hazan

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

by Mykel J. Kochenderfer, Tim A. Wheeler and Kyle H. Wray

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

by Dhabaleswar K. Panda, Xiaoyi Lu and Dipti Shankar

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.

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