Description: Dive into the world of predictive data analytics with "Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies." Authored by experts Aoife D'arcy, Brian Mac Namee, and John D. Kelleher, this comprehensive text is a valuable resource for professionals and students alike. Published by MIT Press in 2015, it covers a range of complex topics including probability, statistics, and stochastic processes, with a focus on artificial intelligence and semantics.The hardcover format measures 9.2 inches in length, 7.3 inches in width, and has a depth of 1.1 inches, making it a substantial addition to any library. With 624 pages of detailed content, this textbook is designed to enhance understanding of machine learning algorithms and their practical applications across various industries.
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End Time: 2025-02-12T13:47:21.000Z
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All returns accepted: ReturnsNotAccepted
Number of Pages: 624 Pages
Publication Name: Fundamentals of Machine Learning for Predictive Data Analytics : Algorithms, Worked Examples, and Case Studies
Language: English
Publisher: MIT Press
Subject: Probability & Statistics / Stochastic Processes, Intelligence (Ai) & Semantics, Databases / Data Mining
Item Height: 1.1 in
Publication Year: 2015
Item Weight: 36.5 Oz
Type: Textbook
Item Length: 9.2 in
Subject Area: Mathematics, Computers
Author: Aoife D'arcy, Brian Mac Namee, John D. Kelleher
Item Width: 7.3 in
Format: Hardcover
