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Course Materials - Fall 2024

AI701: Foundations of Artificial Intelligence

 TB = Textbook or Required reading                     REF = Reference or supplemental reading

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

eBook

Print  

Call Number
C.M. Bishop, Pattern Recognition and Machine Learning. New York: Springer, 2006. Open Access Yes Q 327.B52 2009
P.N. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining. UK; Pearson Education, 2019.

ProQuest 

Yes QA 76.9.D343 T35 2019
T. M. Mitchell, Machine Learning. McGraw-Hill Science, 1997. Open Access Yes QA 76.9.A43 .M58 1997
H. Daume III, A Course in Machine Learning, Self-published, 2017. Open Access NA

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

ProQuest Yes Q 325.5.M87 2012
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 QA 76.73.P98 S533 2019