Data Science and Machine Learning: Mathematical and Statistical Methods
By D.P. Kroese, Z.I. Botev, T. Taimre, R. Vaisman, 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 download the PDF free of charge, provided that you give due acknowledgement to the source and its original location (this website).
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