Data Science and Machine Learning: Mathematical and Statistical Methods

Table of Contents
PDF (20 Mb)
Reviews
About the Authors
Bibtex Reference
Errata
Solutions (odd-numbered)
Python code (GitHub)

This homepage accompanies the book:

D.P. Kroese, Z.I. Botev, T. Taimre, R. Vaisman. Data Science and Machine Learning: Mathematical and Statistical Methods, Chapman and Hall/CRC, Boca Raton, 2019.

The purpose of this book 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.

Key Features: If you wish to use this book for educational purposes or self-study, you are welcome to dowload the PDF free of charge, provided that you give due acknowledgement to the source and its original location (this website).

Order Information (Hard copy and Kindle): [ CRC Press | Amazon | Barnes & Noble ]


To Dirk Kroese's homepage