Data Mining and Machine Learning

Data Mining and Machine Learning Fundamental Concepts and Algorithms

Second edition

Hardback (30 Jan 2020) | English

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Synopsis

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.

About the Publisher

Cambridge University Press

Cambridge University Press

Cambridge University Press dates from 1534 and is part of the University of Cambridge. We further the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence.

Book information

ISBN: 9781108473989
Publisher: Cambridge University Press
Imprint: Cambridge University Press
Pub date:
Edition: Second edition
DEWEY: 006.312
DEWEY edition: 23
Language: English
Number of pages: xii, 766
Weight: 1562g
Height: 256mm
Width: 186mm
Spine width: 46mm