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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…
Performance of various open source GBM implementations
Code (and other materials) for an introductory talk/workshop on GBMs (developed originally for an R-Ladies Meetup)
Szilard Pafka's short bio (to go with conference talk abstracts)
Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics
in the last year
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