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Data Science and Machine Learning
Mathematical and Statistical Methods
Dirk P Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman
117,95 €
+ 235 points
Description
"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
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 538
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9781138492530
- Date de parution :
- 22-11-19
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 226 mm x 279 mm
- Poids :
- 1655 g
