A Course in Machine Learning by Hal Daume III
A Course in Machine Learning by Hal Daume III
English | January 2017 | ISBN: N/A | 227 Pages | PDF | 3.7 MB
English | January 2017 | ISBN: N/A | 227 Pages | PDF | 3.7 MB
This is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.). It's focus is on broad applications with a rigorous backbone. A subset can be used for an undergraduate course; a graduate course could probably cover the entire material and then some.