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Course Materials - Fall 2022

Type ........................ Title

eBook

Print  

 Call Number

eRental
C. Bishop, Pattern Recognition and Machine Learning. Berlin: Springer-Verlag, 2006. Open Access Yes Q327.B52 2009 No

A Course in Machine Learning by Hal Daumé III H. Daume III, A Course in Machine Learning, Self-published, 2017. Available: http://ciml.info/ Open Access No   No
P-N. Tan, M. Steinbach, A. Karpatne, V. Kumar, Introduction to Datamining, 2nd. ed., Global ed. Pearson, 2019.

ProQuest 

 Yes QA76.9.D343 T35 2019

Yes

 
T. M. Mitchell, Machine Learning. McGraw-Hill Science, 1997. No Yes QA76.9.A43 .M58 1997 No

K. P. Murphy, Probabilistic Machine Learning : An Introduction. MIT Press, 2022

Previous edition

K. Murphy, Machine Learning: A Probabilistic Perspective. MIT Press, 2012.

Find the 2012 eCopy here

Find copies of previous edition here

 Open Access Yes Q 325.5 .M872 2022 No
A. Geron, Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, 2019. O'Reilly Yes QA76.73.P98 S533 2019 No