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EVENT DETAILS |
<P>NYC's data science community is full of brilliant, incredibly talented people.This meetup is hosted by LinkedIn New York Engineering. We invited data scientists from LinkedIn and Facebook to talk about the most advanced technologies. And more, you can also explore recruiting opportunities. No hesitate to sign up and come!</P>
<P><STRONG>Meetup Agenda</STRONG></P>
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<P><SPAN>6:30 - 7:00pm Reception & Networking</SPAN></P>
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<P><SPAN>7:00 - 8:15pm three talks</SPAN></P>
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<P><SPAN>8:15 - 9:00pm Q&A and networking</SPAN></P>
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<H3><BR></H3>
<H3>Talks</H3>
<H4><EM>#1: Architecting for change: LinkedIn's new data ecosystem</EM></H4>
<P><SPAN><STRONG>Speaker</STRONG>: Shirshanka Das (Principal Staff Software Engineer, LinkedIn)</SPAN><SPAN><BR CLASS="kix-line-break"></SPAN><SPAN> Yael Garten (Director, Data Science, LinkedIn)</SPAN></P>
<P><SPAN><STRONG>Title</STRONG>: Architecting for change: LinkedIn's new data ecosystem</SPAN></P>
<P><SPAN><STRONG>Abstract</STRONG>: In this talk, Shirshanka Das and Yael Garten describe how LinkedIn redesigned its data analytics ecosystem in the face of a significant product rewrite, covering the infrastructure changes, such as client-side activity tracking, a unified reporting platform, and data virtualization techniques to simplify migration, that enable LinkedIn to roll out future product innovations with minimal downstream impact.</SPAN></P>
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<H4><EM>#2: Matching first-party web content to LinkedIn members</EM></H4>
<P><STRONG>Speaker</STRONG>: Xiaoqiang Luo (NLP Data Scientist and Senior Engineering Manager at LinkedIn)</P>
<P><SPAN><STRONG>Title</STRONG>: </SPAN><SPAN>Matching first-party web content to LinkedIn members</SPAN></P>
<P><SPAN><STRONG>Abstract</STRONG>: </SPAN><SPAN>LinkedIn members care about professional contents (e.g. papers and patents) they create, but it is often tedious to add to profiles. In this talk we present a recent project that matches automatically tens of millions of content pieces from the web to LinkedIns 400m+ members. The matched content can be saved to a member's profile directly with much less frictions; they can also be used to engage or re-engage members and his/her connections.</SPAN></P>
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<H4><EM>#3: Translation at Facebook Connecting the World across Language Barriers</EM></H4>
<P><SPAN><STRONG>Speaker</STRONG>: Fei Huang (</SPAN><SPAN>Lead Research Scientist at Facebook, leading the machine translation research effort at Facebook AML/Language Technology team. </SPAN><SPAN></SPAN><A HREF="https://research.facebook.com/fei-huang/" TARGET="_blank" REL="nofollow"><SPAN>https://research.facebook.com/fei-huang/</SPAN></A><SPAN>)</SPAN></P>
<P><SPAN><STRONG>Title</STRONG>: </SPAN><SPAN>Translation at Facebook Connecting the World across Language Barriers</SPAN></P>
<P><SPAN><STRONG>Abstract</STRONG>: </SPAN><SPAN>The mission of Facebook is to make the world more open and connected and to give people the power to share. On this platform, every month one fifth of the people in the world share their experiences using over 100 languages. However, existing language barriers limit the sharing and connection between people speaking different languages. In this talk, I will present how we are developing technologies and platforms at Facebook to break such barriers. Our technologies enable serving translations from authors, professional translators, and our community, as well as providing automatic translations, to help communication between people using different languages. I will describe various challenges we are facing, as well as our solutions for language identification, user language modeling, automatic translations (statistical and neural MT systems), human translation, and feedback, etc.</SPAN></P>
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