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Introduction to Machine Learning Ethem Alpaydin 9780262043793

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Last updated on 02 May, 2025 09:56:18 BSTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN
9780262043793
Publication Year
2020
Series
Adaptive Computation and Machine Learning Series
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Introduction to Machine Learning
Item Height
229 mm
Author
Ethem Alpaydin
Publisher
MIT Press LTD
Subject
Computer Science
Item Width
203 mm
Number of Pages
712 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
MIT Press LTD
ISBN-13
9780262043793
eBay Product ID (ePID)
8046608931

Product Key Features

Number of Pages
712 Pages
Publication Name
Introduction to Machine Learning
Language
English
Subject
Computer Science
Publication Year
2020
Type
Textbook
Author
Ethem Alpaydin
Series
Adaptive Computation and Machine Learning Series
Format
Hardcover

Dimensions

Item Height
229 mm
Item Width
203 mm

Additional Product Features

Country/Region of Manufacture
United States
Title_Author
Ethem Alpaydin

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