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Real-World Machine Learning on Big Data: Which Method(s) Should You Use?

Dear members,

I am excited to announce our May meetup.  We are going to look at Machine Learning on Big Data.  Alex Gray, co-founder of SkyTree.net will be our speaker.

Agenda:
6pm - 6:30pm : enjoy food + drinks and network
6:30pm - 7:30pm : talk : Machine Learning on Big Data by Alex Gray
7:30pm - 8pm : more food & networking

This event is generously hosted by Samsung!  (Yummy food & drinks !!)
The event FREE to attend.

 

Talk Abstract:

Real-World Machine Learning on Big Data: Which Method(s) Should You Use?

Suppose you have a real-world big data problem before you, and you want to use machine learning (ML) to solve it. Which ML method(s) should you use? How does the fact that the dataset is big affect your choices? Drawing on two decades of experience in ML on big data, I will highlight a few key principles that can be distilled from the thousands of theoretical and experimental results in the research literature surrounding such questions. These will be illustrated through a handful of real-world ML success stories, where best-in-class results were achieved, including difficult examples in medical diagnosis, direct marketing, financial services, and astronomy.

About Speaker -- Alex Gray

Dr. Gray obtained degrees in Applied Mathematics and Computer Science from Berkeley and a PhD in Computer Science from Carnegie Mellon, and is a tenured professor at Georgia Tech. His lab works to scale up all of the major practical methods of machine learning (ML) to massive datasets. He began working on this problem at NASA in 1993 (long before the current fashionable talk of “big data”). His large-scale algorithms helped enable the Science journal’s Top Breakthrough of 2003, and have won a number of research awards. He is a member of the National Academy of Sciences (NAS) Committee on the Analysis of Massive Data, is a NAS Kavli Scholar, and frequently gives invited tutorial lectures on massive-scale ML at top research conferences and agencies.  Dr. Gray is currently CTO and Co-Founder of “Skytree, Inc.—the Machine Learning Company” based in San Jose.

 

See you all there!

Join or login to comment.

  • Sourabh S.

    I guess I was expecting something more .. the speaker did not even mention Big Data.. it was a ML talk but what did it have to do with Big Data? In such cases I would request that the speaker and organizers should be honest about the "Topic" and the "content" of the talk.. that way we know what we are going to get. Time is precious for all!

    1 · May 30, 2013

    • JeffD

      @Chris - no, the Data Science class https://class.coursera...­ started May 1st. You can still join up, watch the videos and do the projects though. So far it has covered SQL (used in novel ways), map reduce (+Pig), NoSQL and some statistics so far. Very up-to-date!

      May 30, 2013

    • A former member
      A former member

      Yes, that looked good, but I had other commitments. I was referring to this one: https://www.coursera.o...­, which starts June 3rd. Different kinds of analysis, but it all depends on what you're looking for.

      May 30, 2013

  • Ronald Z.

    For a non-hacker ML practitioner, the talk is still pretty informative, and it's good to get a comprehensive overview of issues from an expert. The talk can be better if specific examples are provided to show the difference in efficacy of different methods.

    May 30, 2013

  • David S.

    Did I blink and miss the "handful of real-world ML success stories, where best-in-class results were achieved, including difficult examples in medical diagnosis, direct marketing, financial services, and astronomy"? There were a few interesting or useful points made, but the overall ratio of signal to noise (including hand-waving as a type of noise) wasn't good.

    May 30, 2013

  • Govind T.

    Quite useful as an overview ... heed what the speaker said .. pick your poison. For specific actionable stuff, i guess, that advice comes with $$$ attached.

    2 · May 30, 2013

  • A former member
    A former member

    Some meetups are good. So have to take the chance with my time. But this one I had to ML real time and leave early...:-)

    May 30, 2013

  • David H.

    Didn't really address the particular challenges of working with big data. Only provided a taxonomy of data mining techniques.

    May 29, 2013

  • Masaki

    Very instructive

    May 29, 2013

  • JeffD

    I think I've found his equivalent talk on youtube:

    https://www.youtube.com/watch?v=P74spbN4PLE

    I haven't watched it yet, but it has the same title.

    1 · May 29, 2013

  • A former member
    A former member

    The speaker didn't answer his own question -- just listed a lot of choices. Not terribly helpful.

    1 · May 29, 2013

    • Emre

      You're being kind; there was no actionable information. If you didn't already know machine learning, you probably didn't leave with any doubts dispelled. I would have liked to see a demo, pitting Skytree against the competition, to solve some problems using a variety of methods. It sounds like the obvious thing to do...

      May 29, 2013

  • danny c.

    Sorry, will miss this one!

    May 29, 2013

  • Chuan L.

    last minute change, hope someone can take my spot, thanks

    May 29, 2013

  • Ian M.

    I am out of town this week. Sad to miss this presentation.

    May 29, 2013

  • Raman

    hi

    May 22, 2013

  • Ian M.

    Should be fun!

    May 19, 2013

  • Raman

    hi

    May 19, 2013

  • Bobby S.

    Thank you, Sujee
    Bob

    May 19, 2013

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