A Course in Machine Learning
- 2015
- 193 pages
Opens the author, publisher or archive page. FreeTechBooks does not host the file.
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.).
About this book
Hal Daumé III wrote:You may obtain the written materials by purchasing a ($55) print copy, by downloading the entire book, or by downloading individual chapters below. If you find the electronic version of the book useful and would like to donate a small amount to support further development, that’s always appreciated! You can get the source code for the book, labs and other teaching materials onGitHub. The current version is 0.9 (the “beta” pre-release).
Bibliographic record recovered from the original FreeTechBooks listing. View archived source.
