Chapman & Hall/CRC Machine Learning & Pattern Recognition- Data Science and Machine Learning Mathematical and Statistical Methods
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- Engels
- Hardcover
- 9781138492530
- 22 november 2019
- 510 pagina's
Samenvatting
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
Productspecificaties
Inhoud
- Taal
- en
- Bindwijze
- Hardcover
- Oorspronkelijke releasedatum
- 22 november 2019
- Aantal pagina's
- 510
- Illustraties
- Nee
Betrokkenen
- Hoofdauteur
- Alice Y.C. Te
- Tweede Auteur
- Zdravko Botev
- Co Auteur
- Radislav Vaisman
- Hoofduitgeverij
- Crc Press
Overige kenmerken
- 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
- EAN
- 9781138492530
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