Talk by Halla Yang: How to Compete on Kaggle and Win

NOTE: DUE TO A SCHEDULING CONFLICT WE WILL BE MEETING TONIGHT IN ROOM L324 EECS Conference Room IN TECH - MCCORMICK SCHOOL OF ENGINEERING.  A MAP TO THE BUILDING IS GIVEN ABOVE.  PLEASE CONTACT JEREMY AT[masked] ANYTIME IF YOU NEED HELP LOCATING THE BUILDING.

We're incredibly excited to host Halla Yang as this month's speaker at NU ML!  Come out and learn what it takes to succeed in a data mining competition hosted by Kaggle.com from a Kaggle-champion!

Title: How to Compete on Kaggle and Win

Kaggle is an innovative solution for statistical/analytics outsourcing. Companies, governments and researchers present datasets and problems - the world's best data scientists then compete to produce the best solutions. At the end of a competition, the competition host pays prize money in exchange for the intellectual property behind the winning model.

I will provide an overview of Kaggle and talk about some of the tools and techniques I have used to win my first Kaggle competition. See http://www.kaggle.com/users/36141/halla#profile-results for a complete set of my competition results.

About the Speaker I hold a B.A. in physics from Harvard, as well as a Ph.D. in Business Economics from Harvard. After finishing my doctorate, I developed trading strategies at Goldman Sachs Asset Management in New York and managed portfolios at Arrowstreet Capital in Boston. When my wife accepted a tenure-track position at Northwestern, I resigned from my job to move to Evanston. My former employer required me to sit out for one year, and I decided to spend that year exploring a topic I knew little about but was keenly interested in - machine learning - via competing on Kaggle. Eight competitions later, I am currently ranked in the top 50 out of over 76,000 registered Kaggle users, and recently won my first competition, an invitation-only event sponsored by Pfizer. I have a Kaggle hoodie to boot. This March, when my non-compete is over, I'll be joining a proprietary trading firm in Chicago.

 

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  • Reid

    Free recorded O'Reilly online event, "Deep Learning - The Biggest Data Science Breakthrough of the Decade".

    In this talk Jeremy Howard, Kaggle’s president and chief scientist, will explain exactly what occurred, why it was front-page newsworthy for the New York Times, how it will impact business, and what you need to know to make these new algorithms work for you. And talk about Kaggle as well.

    http://event.on24.com/r.htm?e=548104&s=1&k=8B49217B3ACEB64A89FEB73559723F13 This is posted because it is on topic and will definitely be of interest to those who attended Halla's excellent presentation.

    1 · March 18, 2013

  • Jeremy W.

    All - I have just posted Halla's slides on the site. You can find them under the "More" tab at the top of the page under "files".

    More -> files

    1 · February 19, 2013

  • William C.

    Fantastic speaker with key insights about winning Kaggle competitions. Please bring him back for another Meetup.

    February 19, 2013

  • Halla

    Disclosure: my Kaggle ranking fell back down to 50th after they decided not to count private (invitation-only) competitions toward user rankings. sic transit gloria mundi.

    February 6, 2013

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