Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
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Book Overview
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification...
Format:Hardcover
Language:English
ISBN:0262029448
ISBN13:9780262029445
Release Date:July 2015
Publisher:MIT Press
Length:624 Pages
Weight:2.40 lbs.
Dimensions:1.2" x 7.0" x 9.1"
Age Range:18 years and up
Grade Range:Postsecondary and higher
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