| Status | Title | eBook |
Course Reserve (Print) |
eRental | |
| TB |  |
T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning. Springer, 2017. | Springer | Yes | No |
| TB |  |
G. H. Golub, and C. F. Van Loan, Matrix Computations. Vol. 3. JHU press, 2012. | No | Yes | Yes - Access your own copy directly from the course page on Moodle. |
| TB |  |
G. Strang, Introduction to Linear Algebra, 5th ed. Wellesley-Cambridge Press, 2016. | No | Yes | No |
| TB |  |
M. J. Evans and J. S. Rosenthal, Probability and Statistics: The Science of Uncertainty, 2nd ed. W. H. Freeman, | Open Access | No | No |
| REF |  |
M. P. Deisenroth, A. A. Faisal, and, C. S. Ong, Mathematics for Machine Learning. Cambridge University Press, 2020. | Open Access | Yes | No |
| REF |  |
C. Meyer, Matrix Analysis and Applied Linear Algebra. SIAM: Society for Industrial and Applied Mathematics, 2000. |
No | Yes | No |