Data Science and Machine Learning: Mathematical and Statistical Methods

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:

Focuses on mathematical understanding.
Presentation is self-contained, accessible, and comprehensive.
Extensive list of exercises and worked-out examples.
Many concrete algorithms with Python code.
Full color throughout.

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 ]

Japanese translation published by: TOKYO KAGAKU DOZIN, Co., Ltd.

Simplified Chinese translation published by: China Machine Press/Huazhang.

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