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Can I read Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/Crc Machine Learning & Pattern Recognition) on EtoBox?
Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/Crc Machine Learning & Pattern Recognition) by Dirk P Kroese; Zdravko I Botev; Thomas Taimre; Radislav Vaisman; Taylor & Francis (Londyn) is a nonfiction available to read on EtoBox.
What is Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/Crc Machine Learning & Pattern Recognition) about?
"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
Who reads Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/Crc Machine Learning & Pattern Recognition)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Dirk P Kroese; Zdravko I Botev; Thomas Taimre; Radislav Vaisman; Taylor & Francis (Londyn)
- Publisher
- Chapman and Hall/CRC
- Published
- 2019
- Language
- EN
- ISBN
- 9781000731071
- Category
- nonfiction
- Subjects
- Science, Business, Mathematics
Other editions & translations
More by Dirk P Kroese; Zdravko I Botev; Thomas Taimre; Radislav Vaisman; Taylor & Francis (Londyn)
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