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| Data Science and Machine Learning: Mathematical and Statistical Methods, 1st Edition from CRC Press | ||||||
 CRC Press has published Data Science and Machine Learning: Mathematical and Statistical Methods, 1st Edition.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. "This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or early graduate level. This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code. I only wish a book like this had been around when I first began my journey!" -Nicholas Hoell, University of Toronto For more information, visit: * Amazon: https://amzn.to/38xLPKX * Website: crcpress.com |
