| Status | Title | eBook |
Course Reserve (Print) |
eRental | ||
| TB |
|
C. Bishop, Pattern Recognition and Machine Learning. Berlin: Springer-Verlag, 2006. | Author copy | 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 |
