Data Science and Machine Learning: Mathematical and Statistical Methods

Dirk P. Kroese; Zdravko I. Botev; Thomas Taimre; Radislav Vaisman .... 532 pages - Language: English - AmazonSIN: B081S6BQ2Y - Publisher: Chapman and Hall/CRC; (November, 2019).


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.

Data Science and Machine Learning: Mathematical and Statistical Methods, Dirk P. Kroese; Zdravko I. Botev; Thomas Taimre; Radislav Vaisman

... Our aim is Engineering Education Without Barriers: The notion of education being free for all is a revolutionary concept that is capable of transforming the world to a better place. Education has the power to uplift individuals, families, and entire societies out of poverty and provide them with opportunities for growth and development. Education is a human need, and it is essential for personal and societal progress. In today's world, technological advancement has made it possible to access education for free or at a reduced cost. This has become a game-changer in education, breaking down barriers and leveling the field for students across countries, societies, and classes.

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