Name: Machine Learning at Google
Start: 2016-12-01T18:30:00-08:00
End: 2016-12-01T21:00:00-08:00
Location: Google Venice

Machine Learning at Google

Szilard is an expert data scientist and the organizer/co-organizer of most data science meetups in LA (R, DataVis, Data Science/Machine Learning, Big Data).

Szilard Pafka

<DIV>
Machine Learning at Google
Come and hear about a range of the work that is being done in Google’s Los Angeles office in the area of machine learning:
Scot Fang, Google Engineer
Scot works on classification of mobile apps into taxonomies of categories. He will discuss aspects of his work related to machine learning, software engineering, and product applications.
Payam Refael, Tech Lead, Google
Payam works in the signals group at Google LA. The Signals Group builds systems that input text (web page, keyword, creative, query) and output signals for various applications. He will give an overview of these signals and their applications.
We will also host a brief panel discussion with Q&A to follow.
When: Thursday December 1st, 2016
Timeline:
6.30: Doors open, pizza and drinks served.
7.30: Talks start.
8.30: Talks end. Car parking attendants will be there until 9.00.
Where: Google Venice, 340 Main Street, Venice 90291*
Parking, food and drinks will be provided.
*Use the entrance at 275 Sunset Avenue.
Thanks Google’s Tech Outreach Committee for selecting the speakers and hosting.
 
</DIV>
<DIV> </DIV>

Google Venice

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Machine Learning at Google

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