Document Type
Article
Publication Date
2018
Department 1
Computer Science
Abstract
In this column, we will look at a particular Kaggle.com click-through rate (CTR) prediction competition, observe what the winning entries teach about this part of the machine learning landscape, and then discuss the valuable opportunities and resources this commends to AI educators and their students. [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
10.1145/3236644.3236646
Version
Version of Record
Recommended Citation
Neller, Todd. "AI Education Matters: Lessons from a Kaggle Click-Through Rate Prediction Competition." AI Matters: A Newsletter of ACM SIGAI 4, no. 2 (2018): 5-7.
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