Data Science and Machine Learning: Mathematical and Statistical Methods by Dirk P. Kroese
Requirements: .ePUB reader, 30 MB
Overview: “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
Genre: Non-Fiction > Tech & Devices
Download Instructions:
http://gestyy.com/eqci1a
https://rapidgator.net/file/4489f82558b … .epub.html
