Here’s a paper from Stanford showing how to use MapReduce to scalably implement ten different machine learning algorithms!
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8 Responses to “MapReduce cookbook for machine learning”
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.
Whatever methods we use to teach skills and knowledge at the professional stage involve us in many assumptions about how we learn professional skills, knowledge and values, what we learn and why, and what we expect students and trainees to do with that learning. ,
August 1, 2007 at 11:19 pm |
Good link. Thanks!
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.
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.
January 18, 2008 at 2:01 am |
Hello,
I’m studying Nutch and I think you could help me, please!
February 8, 2008 at 8:21 pm |
mencari sumber lain
March 24, 2008 at 10:24 pm |
hellp
October 23, 2009 at 1:46 am |
Whatever methods we use to teach skills and knowledge at the professional stage involve us in many assumptions about how we learn professional skills, knowledge and values, what we learn and why, and what we expect students and trainees to do with that learning. ,
January 5, 2010 at 11:22 pm |
Прикольно. Чувствуется Ваш позитив :)