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MIT Press Foundations of Machine Learning Textbook

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Description

Foundations of Machine Learning by MIT Press provides a comprehensive introduction to the analysis and theory of algorithms. Part of the Adaptive Computation and Machine Learning series, this new edition serves as an essential graduate-level textbook and a reliable reference for researchers. The text covers fundamental modern topics in the field while building a strong theoretical basis and providing the conceptual tools required to justify and discuss algorithms. Beyond theory, the book describes several key aspects of algorithm application. The authors present novel theoretical concepts alongside concise proofs to help readers master the subject. This edition is designed to support both academic study for graduate students and professional research in the field of computer science.

Key Features

This MIT Press textbook is a new edition designed for graduate-level machine learning studies.

The content focuses on the analysis and theory of algorithms within the Adaptive Computation and Machine Learning series.

It serves as a general introduction for graduate students and a detailed reference for researchers.

The text provides the theoretical basis and conceptual tools needed to discuss and justify modern algorithms.

Authors include novel theoretical tools and concise proofs to explain complex machine learning concepts.

The book covers fundamental modern topics and describes key aspects of algorithm application.

Product Specifications

Colour
White
Format
hardcover
Domain
Amazon UK
Release Date
02 April 2019
Listed Since
18 September 2018

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No barcode data available

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