Lecture 11:30am–1:00pm, Tuesday–Thursday (FH215)
Office hours1:30pm–2:30pm, Tuesday–Thursday (W308, Engineering Building 2)
TA: Ilker Gurcan, gurcan@central.uh.edu


[1] The Elements of Statistical Learning, Data Mining, Inference, and Prediction by Trevor Hastie &
[2] Machine learning: A Probabilistic Perspective by Kevin P. Murphy
[3] Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
[4] Reinforcement learning: An introduction by Richard S. Sutton and Andrew G. Barto

Mathematical background:
[1] Linear Algebra and Its Applications by Gilbert Strang
[2] Matrix Computations by Gene H. Golub and Charles F. Van Loan