ML702 - Advanced Machine Learning
TB = Textbook or Required reading 
REF = Reference or supplemental reading
| Type | Title |
eBook |
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Call Number | ||
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B. Schölkopf, A. J. Smola, and F. Bach. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, 2002. | Yes | Q325.5 .S32 2002 | |||
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R. S. Sutton & A. G. Barto, Reinforcement Learning: An Introduction, 2nd. ed., MIT Press, 2018. |
Q325.6.R45 2018 |
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M. J. Wainwright, High-dimensional statistics: A Non-Asymptotic Viewpoint. Vol. 48. Cambridge University Press, 2019. | Yes | QA276.18 .W35 2019 | |||
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C. Bishop, Pattern Recognition and Machine Learning. Berlin: Springer-Verlag, 2006. | Open Access | Yes | Q327.B52 2009 | |
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S. Shalev-Shwartz and S. Ben-David, Understanding Machine Learning: From Theory to Algorithms. Cambridge University Press, 2014. |
Cambridge Core | Yes | Q325.5 .S475 2014 | |
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K. Murphy, Machine Learning: A Probabilistic Perspective, MIT Press, 2012. |
Yes | Q 325.5 .M872 2022 | ||
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V. Vapnik, The Nature of Statistical Learning Theory, Springer, 2000. Previous edition V. Vapnik, Statistical Learning Theory, Wiley, 1998. Find copies here |
ProQuest | Yes | Q325.7 .V37 2000 |
