Chapman hall crc machine learning pattern recognition data science and machine learning
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The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone 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.
"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
"This is a well-written book that provides a deeper dive into data-scientific methods than many introductory texts. The writing is clear, and the text logically builds up regularization, classification, and decision trees. Compared to its probable competitors, it carves out a unique niche. -Adam Loy, Carleton College
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.Further Resources can be found on the authors website: https://github.com/DSML-book/Lectures
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Taal: en
Bindwijze: Hardcover
Oorspronkelijke releasedatum: 22 november 2019
Aantal pagina's: 510
Illustraties: Nee
Hoofdauteur: Alice Y.C. Te
Tweede Auteur: Zdravko Botev
Co Auteur: Radislav Vaisman
Hoofduitgeverij: Crc Press
Extra groot lettertype: Nee
Product breedte: 210 mm
Product lengte: 280 mm
Studieboek: Nee
Verpakking breedte: 210 mm
Verpakking hoogte: 280 mm
Verpakking lengte: 280 mm
Verpakkingsgewicht: 1686 g
EAN: 9781138492530