Nicolas Hug
ML Engineer
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Deep dive into FFCV internals
Efficient Partial Dependence Plots with decision trees
Cython notes and tips
Around gradient boosting: classification, missing values, second order derivatives, and line search.
Understanding Gradient Boosting as a gradient descent
Understanding matrix factorization for recommendation (part 4) - algorithm implementation
Understanding matrix factorization for recommendation (part 3) - SVD for recommendation
Understanding matrix factorization for recommendation (part 2) - the model behind SVD
Understanding matrix factorization for recommendation (part 1) - preliminary insights on PCA
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