Large Scale Machine Learning and Other Animals

Showing posts with label shotgun. Show all posts
Showing posts with label shotgun. Show all posts
Monday, September 12, 2011

Atomic read-modify-write operation on multicore

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Recently, while working on our Shotgun large scale sparse logistic regression code , I learned some cool programming trick from Aapo Kyrola,...
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Thursday, September 8, 2011

More on shutgun (2)

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One of the greatest things about writing a blog is in getting interesting feedback from the readers. (I mean if no one reads it - why bother...
Sunday, August 28, 2011

More on shutgun

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I got inquiries from several companies who wanted to use shotgun, our large scale sparse logistic regression / lasso solver. I thought about...
Monday, June 27, 2011

Large scale logistic regression on multicore

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A few days ago, I wrote about our new ICML paper , which discusses how to speed up L1 regularized loss (either LASSO or logistic regression...
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Danny Bickson
6 years ago, along with my collaborators at Carnegie Mellon University, I have started the GraphLab large scale open source project, which is a framework for implementing machine learning algorithms in parallel and distributed settings. When the project became popular, we have decided to raise money to expand the project and provide an industry grade solution. Specifically I wrote the award wining collaborative filtering toolkit to GraphLab which is widely deployed today, and helped us win top places at ACM KDD CUP 2011, ACM KDD CUP 2012 among other competitions. Checkout our website: http://dato.com
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