Description: This textbook titled "Fundamentals of Machine Learning for Predictive Data Analytics" is a comprehensive guide for students and professionals interested in the subject area of Computers, Mathematics. The book covers various aspects of the subject matter including Probability & Statistics, Stochastic Processes, Intelligence & Semantics, and Databases & Data Mining. The book is authored by Aoife D'arcy, Brian Mac Namee, and John D. Kelleher and published by MIT Press in 2015. It is available in hardcover format with a length of 9.2 inches, height of 1.1 inches, and width of 7.3 inches. The book has 624 pages and weighs 36.5 ounces. This textbook is a valuable resource for those interested in the field of Machine Learning and Predictive Data Analytics.
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All returns accepted: ReturnsNotAccepted
Number of Pages: 624 Pages
Language: English
Publication Name: Fundamentals of Machine Learning for Predictive Data Analytics : Algorithms, Worked Examples, and Case Studies
Publisher: MIT Press
Publication Year: 2015
Item Height: 1.1 in
Subject: Probability & Statistics / Stochastic Processes, Intelligence (Ai) & Semantics, Databases / Data Mining
Type: Textbook
Item Weight: 36.5 Oz
Author: Aoife D'arcy, Brian Mac Namee, John D. Kelleher
Subject Area: Mathematics, Computers
Item Length: 9.2 in
Item Width: 7.3 in
Format: Hardcover
