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The following is a list of required and optional materials for this course. This information is subject to change.

Data Mining & Machine Learning - 11344 - CS 37300 - Lecture

    OPTIONAL TEXTBOOK: ISBN: 9780387946184 -- A Probabilistic Theory of Pattern Recognition
    Author: Luc Devroye,Laszlo Gyorfi,Gabor Lugosi
    Publisher: Springer Science and Business Media
    Edition/Year:1997

    OPTIONAL TEXTBOOK: ISBN: 9789380931913 -- Data Mining
    Author: Jiawei Han,Micheline Kamber
    Publisher: ELSEVIER
    Edition/Year:2012

    OPTIONAL TEXTBOOK: ISBN: 9384761168 -- Machine Learning
    Author: Tom M. Mitchell
    Publisher: McGraw-Hill
    Edition/Year:1997

    OPTIONAL TEXTBOOK: ISBN: 9780521118620 -- Neural Network Learning: Theoretical Foundations
    Author: Anthony and Bartlett
    Publisher: Cambridge University Press
    Edition/Year:1999

    OPTIONAL TEXTBOOK: ISBN: 02620829X -- Principles of Data Mining
    Author: Hand, Mannila, Smyth
    Publisher: MIT Press
    Edition/Year:2001
    Notes: Check URL before purchasing, free with PUID

    OPTIONAL TEXTBOOK: ISBN: 9780387848570 -- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
    Author: Hastie, Tibshirani, and Friedman
    Publisher: Springer
    Edition/Year:2016

    OPTIONAL TEXTBOOK: ISBN: 9781107057135 -- Understanding Machine Learning
    Author: Shai Shalev-Shwartz,Shai Ben-David
    Publisher: Cambridge University Press
    Edition/Year:2014



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