Literature and readings
The main literature for machine learning:
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An introduction to statistical learning with applications in R, 2nd edition. Springer, New York. (freely available)
Further readings:
- Friedman, J., Hastie, T., & Tibshirani, R. (2001). The elements of statistical learning. Springer, Berlin. (freely available)
- Yuxi Li (2018). Deep reinforcement learning, https://arxiv.org/abs/1810.06339
- Yoav Shoham, Kevin Leyton-Brown: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press, 2009
- Jurafsky, Daniel and James, Martin (2019): Speech and Language Processing, 3rd edition in progres
- Kononenko, I., Robnik-Šikonja, M.: Inteligentni sistemi. Založba FE in FRI, 2010 (in Slovene, v skriptarni pri vhodu, cena 13€)