Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

by Aoife D'Arcy, John D. Kelleher, Brian Macnamee, et al.

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