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With Claudia Perlich (Chief Scientist, Dstillery).
Fri, May 22, 2015 @ 06:00 PM   FREE   NYU Courant Institute, 251 Mercer St, Rm 109
 
     
 
 
              

      
 
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I am so happy to have Claudia Perlich, Chief Scientist at Dstillery (formerly Media6Degrees) for the upcoming talk.


Abstract: Digital advertising is one of the largest and open playgrounds for machine learning, data mining and related analytic approaches. This talk will touch on a number of challenges which arise in this environment: 1) high volume data streams of around 30 Billion daily consumer touch points, 2) low latency requirements on scoring and automated bidding decisioning within 100ms and 3) adversarial modeling in the light of advertising fraud and bots. Specifically, we will discuss an automated learning system implemented at Dstillery, that uses privacy friendly data representation to build sparse targeting models for thousands of products in Millions of dimensions. The solution incorporates ideas from transfer learning, Bayesian priors, stochastic gradient descent, hashing and learning rate estimation. On the sidelines, but of no less importance, are topics on bid optimization, data reliability, cross-device identification and observational methods for causal inference. Finally, I will touch on a few higher-level lessons around incentive misalignments/measurement issues in the advertising industry and pose the paradox of big data and predictive modeling: You never have the data you need.


Claudia has published more than 30 scientific articles and holds multiple patents in machine learning. She has won many data mining competitions and best paper awards at KDD. She teaches at NYU. Prior to Dstillery, Claudiaworked at the Predictive Modeling group at the IBM T.J. Watson Research Center.

Claudia received her PhD from NYU in Information Systems from Stern School of Business. She holds two graduate degrees in Computer Science, one from Technische Universitat Darmstadt and the other from University of Colorado at Boulder.


Dstillery:http://dstillery.com

Claudia:https://sites.google.com/site/claudiaperlich/home

 
 
 
 
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