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MapReduce cookbook for machine learning

Here’s a paper from Stanford showing how to use MapReduce to scalably implement ten different machine learning algorithms!

This entry was posted on July 30, 2007 at 2:15 pm and is filed under Uncategorized. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.

6 Responses to “MapReduce cookbook for machine learning”

  1. Lukas Vlcek Says:
    August 1, 2007 at 11:19 pm

    Good link. Thanks!

  2. burtonator Says:
    August 11, 2007 at 6:53 pm

    Hm… good find. I’m going to have to read this one.

    We’ve been planing on OSSing a similar framework to Mapreduce which I’ve been meaning on pinging you about.

    Anyway. More to come.

  3. MJ Says:
    November 19, 2007 at 12:27 pm

    Wow that is definitely very cool! It’s great not having to worry about hardware and communication stuff and still be able to parallelize all these important algorithms so easily.

  4. Trung Says:
    January 18, 2008 at 2:01 am

    Hello,
    I’m studying Nutch and I think you could help me, please!

  5. bambang Says:
    February 8, 2008 at 8:21 pm

    mencari sumber lain

  6. kevin Says:
    March 24, 2008 at 10:24 pm

    hellp

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