There are two suggested references for this course.
``Deep Learning'' by I. Goodfellow, Y. Bengio, and A. Courville, 2017, The MIT Press.
``The Elements of Statistical Learning: Data Mining, Inference, and Prediction" by T. Hastie, R. Tibshirani and J. Friedman, Springer. There is free e-copy available (thanks HTF for their kindness)
http://web.stanford.edu/~hastie/local.ftp/Springer/OLD/ESLII_print4.pdf
Only selected topics from the texts will be discussed. The instructor may emphasize certain topics more or less than the book does. It is therefore important to attend the lectures.