MTH701: Mathematical Foundations of Artificial Intelligence
TB = Textbook or Required reading 
REF = Reference or supplemental reading
| Type | .................... | Title |
eBook |
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Calll Number |
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P. Deisenroth, A. A. Faisal, A. A., C.S. Ong, Mathematics for Machine Learning. Cambridge University Press, 2020. | Open Access | Yes | Q 325.5.D34 2020 | |
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M. J. Evans and J. S. Rosenthal, Probability and Statistics: The Science of Uncertainty. Macmillan, 2009. | Open Access | No | ||
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G. H. Golub, and C. F Van Loan, Matrix Computations. vol. 3, JHU press, 2012. |
(access through moodle )
|
Yes | QA 188.G65 2013 | |
|
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G. Strang, Introduction to Linear Algebra. 5th ed., Cambridge Press, 2016. |
(access through moodle )
|
Yes | QA 184.2 .S77 2016 | |
|
 |
T. Hastie R. Tibshirani and J.H. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2nd ed., Springer, 2009.
|
Springer | Yes | Q 325.75 .H37 2017 | |
|
 |
C. D. Meyer, Matrix Analysis and Applied Linear Algebra. SIAM, 2000. | NA | Yes | QA 188.M495 2000 |
