Accelerating Machine Learning - GPU

We're going to switch gears for a couple of sessions.  We'll focus for a couple of sessions on software structures available for gpu and how those might be used to program standard algorithms in machine learning (gradient descent, binary decision tree, association rules, regularization path methods, etc.).  Several architectures are available for machine learning algo (gpu, map-reduce on Hadoop, Spark, etc.)  Our goal here is to see how the various available architectures compare on some standard algorithms.  I'll post some links to software packages.


Attendance Limit

There's an attendance limit of 10.  About 50% of those who RSVP "yes" won't show up.  If you're less tenth on the waitlist you'll get in.



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  • Mike B.

    i've checked with hackerdojo about moving the event to a larger room. there isn't space available for tonight. we'll meet the first session at hackerdojo as planned, but it looks like we might be able to move to nvidia, if there's on-going interest. jerry, let's have an offline chat about how we might work that. my email is mike at mbowles dot com.

    1 · July 15, 2013

  • Dib G.

    Can someone please record the session and share it. The topic is incredibly good to miss.

    July 15, 2013

  • Jerry C.

    If space is the constraint, I can also host this at one of the buildings at the NVIDIA campus (Bldg E), 2800 Scott Blvd, Santa Clara 95054. Let me know.

    1 · July 15, 2013

    • A former member
      A former member

      That is an excellent idea!

      1 · July 15, 2013

  • Jerry C.

    I'm happy to join to represent NVIDIA, please let me know

    1 · July 15, 2013

  • Nate


    Could you please increase the number of attendees?

    July 15, 2013

  • Kris W.

    Any chance to get a bigger space or something (considering there's 46 people on the waiting list)?

    2 · July 14, 2013

10 went

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