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Alex Rubinsteyn
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www.rubinsteyn.com
www.rubinsteyn.com

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How much faster is a truncated SVD?
The Singular Value Decomposition is an important matrix operation which enables many other numerical algorithms. The SVD lets you tame seemingly unwieldy matrices by uncovering their reduced " low rank " representation. A matrix which can be accurately appr...

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Spark should be better than MapReduce (if only it worked)
Spark is a distributing programming framework which lets you write collection oriented algorithms in Scala that (are supposed to) execute seamlessly across a data center. It has an elegant API (transformations, reductions, grouping, &c) and if it worked as ...

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Big speedup for Random Forest learning in scikit-learn 0.15
Until recently, wiseRF was the obviously fastest Random Forest implementation for Python (and thus, the best library for dealing with larger in-memory datasets). Though scikit-learn has had tree ensembles for the past several years , their performance was t...

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Training Random Forests in Python using the GPU
Random Forests have emerged as a very popular learning algorithm for tackling complex prediction problems.
Part of their popularity stems from how remarkably well they work as "black-box" predictors to model nearly arbitrary variable interactions (as oppos...

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