Skip to Main Content

Course Materials Fall 2021

Status   Title eBook

Course Reserve (Print)

 eRental
TB
C. Bishop, Pattern Recognition and Machine Learning. Berlin: Springer-Verlag, 2006. Open Access

Yes

 No
TB

S. Shalev-Shwartz and S. Ben-David, Understanding Machine Learning: From Theory to Algorithms. Cambridge University Press, 2014.

 Cambridge Core Yes No
REF K. Murphy, Machine Learning: A Probabilistic Perspective. MIT Press, 2012. ProQuest Yes No
REF
V. Vapnik, The Nature of Statistical Learning Theory, Springer, 2000. 
 		 ProQuest Yes No
REF V. Vapnik, Statistical Learning Theory, Wiley, 1998.  No Yes No
REF D. Barber, Bayesian Reasoning and Machine Learning. Cambridge University Press, 2012. Open Access Yes No
REF R. S. Sutton & A. G. Barto, Reinforcement Learning: An Introduction, 2nd. ed., MIT Press, 2018.  ProQuest Yes No