Martina Pugliese

Good page with example https://www.analyticsvidhya.com/blog/2016/02/complete-guide-parameter-tuning-gradient-boosting-gbm-python/ and also goes through the parameters

See the interpretable ML book LIME paper is https://arxiv.org/pdf/1602.04938.pdf SHAP paper is http://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions.pdf

https://blog.twitter.com/engineering/en_us/a/2014/all-pairs-similarity-via-dimsum.html

Link to it in - [ ] moments of a distribution

Has to be massively improved, has to become a generic overview of ML and how to do it * what is ML * supervised/unsupervised * regression/classification * clustering * feat...

It is used in the classification performance metrics, but the page itself needs some improvement