Deep Learning @Whisper

Deep Learning @Whisper
talk by Nick Stucky-Mack

Video now available, thank you to community member Carl Mullins for providing video services:

In this talk we will discuss how Whisper uses machine learning for natural  language processing tasks. We will focus on how Whisper applies deep learning to moderate content created by its more than 20 million monthly active users. The talk will explore the problem of short text classification, and will cover Whisper’s choices in machine learning models, software development, and hardware.

Speaker bio: Nick works on machine learning at Whisper. Nick conceived of, built, and currently develops and maintains the arbiter project for deep-learning-based content moderation at Whisper. Nick joined as Whisper’s third data scientist. Before that, he earned a BA in Mathematics from Harvard, was a Blakemore Fellow at Tsinghua University in Beijing, and worked in adtech in Taipei.

Date: May 12, 2016 (Thursday)

Timeline:
– 6:00pm food/bev & networking
– 7:00pm talks starts promptly

You must have a confirmed RSVP and please arrive by 6:55pm the latest. Please RSVP for this meetup here on Eventbrite.
No more free spots? To increase your chance to get in next time, consider signing up to theDataScience.LA mailing list (we announce all new meetups on that mailing list first).

Venue: Whisper, 69 Windward Avenue, Venice, CA 90291
Thanks Whisper for hosting!
(Notice: parking is tough/expensive)

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