 Название: Data Science and Machine Learning: Mathematical and Statistical Methods
Автор: Dirk P. Kroese, Zdravko I. Botev
Издательство: Chapman and Hall/CRC
Год: 2019
Страниц: 536
Язык: английский
Формат: pdf (true)
Размер: 32.8 MB
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.
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.
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Data Science and Machine Learning: Mathematical and Statistical Methods 
