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Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series) book cover by Ethem Alpaydin
Hardcover

Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series)

by Ethem Alpaydin

Hardcover · 712 pages MIT Press · 2020

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Hardcoverfrom $45.00
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About the book

Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series)

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This substantially revised fourth edition of a comprehensive, widely used machine learning textbook offers new coverage of recent advances in the field in both theory and practice, including developments in deep learning and neural networks.

The book covers a broad array of topics not usually included in introductory machine learning texts, including supervised learning, Bayesian decision theory, parametric methods, semiparametric methods, nonparametric methods, multivariate analysis, hidden Markov models, reinforcement learning, kernel machines, graphical models, Bayesian estimation, and statistical testing. The fourth edition offers a new chapter on deep learning that discusses training, regularizing, and structuring deep neural networks such as convolutional and generative adversarial networks; new material in the chapter on reinforcement learning that covers the use of deep networks, the policy gradient methods, and deep reinforcement learning; new material in the chapter on multilayer perceptrons on autoencoders and the word2vec network; and discussion of a popular method of dimensionality reduction, t-SNE. New appendixes offer background material on linear algebra and optimization. End-of-chapter exercises help readers to apply concepts learned. Introduction to Machine Learning can be used in courses for advanced undergraduate and graduate students and as a reference for professionals.



The book, Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series) [Bulk, Wholesale, Quantity] ISBN#9780262043793 in Hardcover by Ethem Alpaydin may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
MIT Press
Author
Ethem Alpaydin
Format
Hardcover
Published
Mar 24, 2020
ISBN-13
9780262043793
ISBN-10
0262043793
Pages
712
Carton quantity
10 copies
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Introduction to Machine Learning, fourth edition (Adaptive Computation and Machine Learning series) in bulk: pricing

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