Document Type
Article
Publication Date
2017
Department 1
Computer Science
Abstract
In this column, we focus on resources for learning and teaching three broad categories of machine learning (ML): supervised, unsupervised, and reinforcement learning. In ournext column, we will focus specifically on deep neural network learning resources, so if you have any resource recommendations, please email them to the address above. [excerpt]
Copyright Note
This is the publisher's version of the work. This publication appears in Gettysburg College's institutional repository by permission of the copyright owner for personal use, not for redistribution.
DOI
10.1145/3098888.3098893
Version
Version of Record
Recommended Citation
Neller, Todd. "AI Education: Machine Learning Resources." AI Matters 3, no. 2 (Spring 2017): 14-15.
Required Publisher's Statement
This blog is also available on the publisher's website: https://sigai.acm.org/aimatters/
Comments
Additional resources are provided here: http://cs.gettysburg.edu/ai-matters/index.php/Resources