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  1. 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 alโ€ฆ

    R 1.8k 333

  2. Performance of various open source GBM implementations

    HTML 137 19

  3. Most recent/important talks given at conferences/meetups


  4. Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA

    HTML 117 62

  5. Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics

    HTML 18 44

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March 2020

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