**PHY 7097 "Machine Learning"**
(Fall 2021)
**Main books**
**Other relevant books**
- P. Bruce, A. Bruce and P. Gedeck, Practical Statistics for Data Scientists (code).
- D. Foster, Generative Deep Learning
(blog post and code).
- A. Trask, Grokking Deep Learning
(code).
- P. Wilmott, Machine Learning: An Applied Mathematics Introduction.
- T. Hastie, R. Tibshirani, J. Friedman, The Elements of Statistical Learning (free).
- M. Nielsen, Neural Networks and Deep Learning (free online book).
- I. Goodfellow, Y. Bengio and A. Courville, Deep Learning (free).
- J. Patterson and A. Gibson, Deep learning: A Practitioner's Approach (very inexpensive).
**Python resources**
**Free online resources**
**Some relevant arXiv articles**
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