Data Science and Machine Learning

Dirk P. Kroese, Zdravko Botev, Thomas Taimre, and Radislav Vaisman, Data Science and Machine Learning: Mathematical and Statistical Methods, Chapman & Hall, 2019. (Lecture notes and Python files)

The purpose of Data Science and Machine Learning: Mathematical and Statistical Methods is to provide an accessible, yet comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science.