A game theoretic approach to explain the output of any machine learning model.

Jupyter notebooks from the scikit-learn video series

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

Parquet-based ML data format optimized for working with unstructured data

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems