Survival Analysis, Data Science, Xgboost, Hands On Tutorials, Explore.
also work as a noise filter, performing splits only through features that have predictive power. Thus, the embedding actually has a lower intrinsic dimension than the input data (see [4]). This mitigates the curse of dimensionality and allows a kNN model trained on the embedding (using hamming