__Claremont Graduate University__ | __Claremont McKenna__ | __Harvey Mudd__ | __Pitzer__ | __Pomona__ | __Scripps__

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Copyright © 2011 Claremont Center for the Mathematical Sciences

When

Start: 09/21/2017 - 4:15pm

End : 09/21/2017 - 5:15pm

End : 09/21/2017 - 5:15pm

Category

Applied Math Seminar

Speaker

Alpan Raval (CGU, Keck Graduate Institute)

Abstract

In this talk I will present a very high-level (equation-free) overview of some Machine Learning (ML) projects at LinkedIn and the data used to drive them. I will describe the problems and discuss the challenges in implementing ML solutions to these problems. Many of these challenges are common to large internet companies — examples include: high volumes of dynamic data, noisy ground truth, and time-to-inference requirements — while a few are specific to the LinkedIn platform.

Where

Emmy Noether Rm, Millikan 1021, Pomona College