Machine Learning for Fraud Detection

In the midst of a growing digital advertising industry, the problem of traffic fraud continues to rise. Yahoo fights back by using sophisticated machine learning capabilities to protect its advertisers from paying for invalid traffic. Yahoo's traffic protection system leverages real-time detection with large-scale data mining on Hadoop to stay ahead of the fraudulent actors in the advertising ecosystem.

Join us on Monday October 24th to learn more about how Machine Learning is used for traffic protection and fraud prevention at very large scale.

Pizza provided courtesy of Yahoo.

Speaker: Matt Ahrens

Bio: Matt Ahrens, Engineering Director, Yahoo Champaign

Matt graduated from UIUC in 2003 with a Bachelor's degree in Mathematics & Computer Science. After working for Motorola for 4 years, Matt joined Yahoo in 2007 as part of the Advertising Data Systems group. He has been part of the teams that have built out data pipelines for Yahoo's display advertising businesses.