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Data Science @ Netflix >> live streaming in Pasadena

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Hosted By
Szilard P. and Andy G.
Data Science @ Netflix >> live streaming in Pasadena

Details

Thanks OpenX (Andy Gooden and Moira Regelson) and yours truly (Szilard Pafka) we are streaming the "Data Science @Netflix" event of the Data Science Track of the Machine Learning meetup.

The live event takes place at Cross Campus in Santa Monica https://www.meetup.com/LA-Machine-Learning/events/165175132/ and as of now there are 200+ people on the waiting list.

The (live) streaming event will be at OpenX in Pasadena, more convenient for some, and also an opportunity to attend for those on the waiting list. OpenX has a great setup and we'll stream audio, video of the speaker on one screen, and image of the speaker's laptop (slides, demos) on another screen.

You will need to RSVP here if you want to attend the streaming event in Pasadena and once you get in here, please give away your spot in Santa Monica.

As Netflix does not allow us to make recordings or share the slides, we'll use a private streaming channel and there will be no opportunity to watch that from home or to see any recordings later. The only place you'll be able to see the streaming is at OpenX.

Data Science @ Netflix

Douglas Twisselmann and Kevin Wylie

The Netflix content team in Beverly Hills is tasked with the challenge of licensing/purchasing/developing the best TV and movies for its 44 million users in 41 countries. This talk will cover an overview of what the content data science teams do for the organization towards the goals of identifying characteristics of an “ideal” content library, predicting demand for titles that Netflix does not have, determining the customer impact of adding or losing sets of content, and helping to identify the next original series. In addition, we'll cover some data and techniques one might use in demand prediction.

Bios:

Douglas Twisselmann is a Senior Data Scientist in the Science and Algorithms group at Netflix. In this role, he helps Netflix tackle the challenge of optimizing the TV and movie libraries by innovating mathematical models via the ever-growing cache of streaming data. Doug received his B.S. in Chemistry - Materials Science at UCLA and his Ph.D.
in Materials at MIT. How he came to work in data analytics and algorithms at Netflix is a long story.

Kevin Wylie is the Director for the Content Data Science and Engineering group at Netflix. He leads a team of data engineers, and BI engineers and analysts to help drive analytics forward for all things Content. Kevin received his B.S. in Mathematics at VA Tech. Prior to working at Netflix, Kevin most recently worked in analytics at Myspace.

Timeline:

  • 7:00pm talks starts promptly

Please arrive by 6:55pm the latest.

Venue: The streaming event will be hosted by:

OpenX - 888 E Walnut St, Pasadena (One West Bank building on SW corner of Lake/Walnut)

The event will be held on the first floor. Enter via the glass doors near the parking structure. If arriving by foot, walk down the driveway tunnel mid-block on Walnut or down the driveway off Lake. Look for the OpenX banner.

Parking: OpenX will validate parking for the 888 E. Walnut lot. The lot is behind the building. Enter from Walnut through the tunnel or via the driveway off Lake. There are two structures. Choose the north most structure listed for 888 E. Walnut. Remember to bring your parking ticket for validation.

Transit: The Gold Line - Lake Station is one block away and is a great option.

Food: Pizza and drinks will be served

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R Meetup - Real Data Science USA (formerly LA R Users Group)
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