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Book details
File Size: 32 MB
Format: pdf
Print Length: 532 pages
Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
Publisher: Chapman and Hall/CRC; 1 edition (November 20, 2019)
Publication Date: November 20, 2019
Sold by: Amazon.com Services LLC
Language: English
ASIN: B081S6BQ2Y
“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!”
Book details
File Size: 32 MB
Format: pdf
Print Length: 532 pages
Simultaneous Device Usage: Up to 4 simultaneous devices, per publisher limits
Publisher: Chapman and Hall/CRC; 1 edition (November 20, 2019)
Publication Date: November 20, 2019
Sold by: Amazon.com Services LLC
Language: English
ASIN: B081S6BQ2Y
“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!”