Location: San Jose, CA
MapR
Apr 022013
Original post with audio and slides is here.
Hey guys, you’re listening to g33ktalk. Today, we’ve got a talk by Ted Dunning from the Hadoop meet up in New York last night. Ted is going to talk to us about recent developments in Mahout. Stay tuned.
Ted Dunning: Okay, what I want to do is talk about news from Mahout, as if Mahout were a foreign land. Sometimes I think it is. I am chief application architect for MapR. Cool hat, huh? These hats are on offer. They go to employees— at least the black belt version goes to employee. And so, if you think you qualify for the black belt version, get in touch with us. We’re definitely hiring. You can get in touch with me a lot of ways. First initial, last name at maprtech. First initial, last name at apache dot org. Or, , ted_dunning @ Twitter. Any way you like. I try to answer everything, if anybody sends me anything, which sometimes means I work too late.
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Mar 062013
Let us preface this by apologizing for poor recording quality! We had a technical issue that caused clipping on the audio. 
We will get a transcript up soon to save your ears.
Despite that, we’ve got a recording from the Hadoop meetup last night in AppNexus. , Chief Application Architect at MapR Technologies, will talk about recent developments in Mahout and real-time learning.
In particular, Ted covers the results from quality and speed testing of Mahout’s new super-fast k-means clustering algorithms (hint, quality is very good and speed is phenomenal). He also dives deep into a design for a on-line clustering facility that can cluster the full content of the Twitter fire-hose into thousands of clusters in real-time.
Full transcript of this talk can be found here
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