Machine Learning/Duolingo Seminar

  • KEVIN REGAN
  • Senior Software Engineer
  • Google Pittsburgh
Seminars

Machine Learning in the Real World: A Case Study of Click Through Rate Prediction

Predicting ad click–through rates (CTR) is a massive-scale machine learning problem that is central to the multi-billion dollar online advertising industry. We will give an overview of CTR prediction, how it is used in online advertising auctions and detail some of the real-world challenges of training and deploying CTR prediction models.



Kevin Regan is a software engineer who works on the machine learning behind the click prediction system used for ads on Google.com.

Faculty Host: Barnabás Póczos

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