Back To Schedule
Sunday, October 22 • 10:55am - 11:25am
Deep Learning for Ad Mix Optimization

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
Online advertising is a highly dynamic and non-linear problem, which makes changes unpredictable, controls unreliable, and the data is often incomplete or censored. Deep learning can address these challenges and can generate optimal ad mixes.

avatar for Neal Fultz

Neal Fultz

Principal Data Scientist, System1
Neal Fultz is the Principal Data Scientist at System1 (a Venice ad-tech startup), the Owner-Operator of NJNM Consulting (a boutique statistical consultancy), and the author of several open-source R and Python packages for Bayesian inference and optimization.

Sunday October 22, 2017 10:55am - 11:25am PDT
Room D Room D