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.
Good link. Thanks!
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.
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.
I’m studying Nutch and I think you could help me, please!
mencari sumber lain
Thanks for the link… ;)
What is the easier way to understand about MapReduce-hadoop?
Trying to understand the hard works. Thanks for the knowledge sharing…
Fill in your details below or click an icon to log in:
You are commenting using your WordPress.com account. ( Log Out / Change )
You are commenting using your Twitter account. ( Log Out / Change )
You are commenting using your Facebook account. ( Log Out / Change )
Connecting to %s
Notify me of follow-up comments via email.
Theme: Kubrick. Blog at WordPress.com.
Entries (RSS) and Comments (RSS).
Get every new post delivered to your Inbox.