explain my data
Wednesday, March 5, 2014
Big speedup for training Random Forests in scikit-learn 0.15
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Until recently, wiseRF was the obviously fastest Random Forest implementation for Python (and thus, the best library for dealing with larg...
6 comments:
Wednesday, December 11, 2013
NIPS and the Zuckerberg Visit
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This past weekend, several hundred researchers, students, and hobbyists streamed into Lake Tahoe to attend a conference called Neura...
8 comments:
Friday, October 11, 2013
Training Random Forests in Python using the GPU
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Random Forests have emerged as a very popular learning algorithm for tackling complex prediction problems. Part of their popularity stems ...
19 comments:
Sunday, July 22, 2012
Expensive lessons in Python performance tuning
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Over the past year I've done a lot of number crunching in Python with the wonderful ipython / numpy / pandas / sklearn stack and using...
24 comments:
Wednesday, July 11, 2012
Should you apply PCA to your data?
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If you've ever dipped your toe into the cold & murky pool of data processing, you've probably heard of principal component ana...
17 comments:
Friday, July 6, 2012
Quick classifiers for exploring medium-sized data (redux)
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In my last post , I wanted to find out which classifiers are quick enough to allow us to re-train them many times on medium-sized data . A ...
1 comment:
Tuesday, July 3, 2012
Speeding Up Greedy Feature Selection
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In the last post Alex wrote: "While you can choose and manipulate your features by divination, tea leaf reading, or good old-fashi...
4 comments:
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