Dan FrankowskiHow to become a data scientist, part 3: tell people about your workIn part 1, I suggested you find a good problem. In part 2, I suggested you try to solve it. Here I discuss how to tell people what you did.Apr 14, 2022Apr 14, 2022
Dan FrankowskiWhat if Recommendation Algorithms Like Facebook’s Grappled Directly with Bad Content?Maybe we can improve recommendations by giving our models a different goalOct 7, 2021Oct 7, 2021
Dan FrankowskiinTowards Data ScienceShould you explain your predictions with SHAP or IG?Two different explanation algorithm types, best in different situations.Aug 13, 20191Aug 13, 20191
Dan FrankowskiinTowards Data ScienceCausality in model explanations and in the real worldYou can’t always change a human’s input to see the output.Jul 31, 20191Jul 31, 20191
Dan FrankowskiinTowards Data Science“Hey, what’s that?” Debugging predictions using explanationsWhat does debugging look like in the new world of machine learning models? One way uses model explanations.Jul 22, 2019Jul 22, 2019
Dan FrankowskiinTowards Data ScienceA gentle introduction to GA2Ms, a white box modelA gentle introduction to a white box machine learning model called a GA2M, a Generalized Additive Model (GAM) with interaction terms.Jun 3, 20191Jun 3, 20191
Dan FrankowskiinTowards Data ScienceHumans choose, AI does notFor the non-technical reader who sees scary headlines: every AI has a goal, usually a labeled dataset, precisely defined by a human.May 8, 2019May 8, 2019
Dan FrankowskiinTowards Data ScienceA gentle introduction to algorithmic fairnessA gentle introduction to issues of algorithmic fairness: some U.S. history, legal motivations, and four definitions with counterarguments.Apr 23, 2019Apr 23, 2019
Dan FrankowskiinfiddlerlabsCase study: explaining credit modeling predictions with SHAPAt Fiddler labs, we like explaining machine learning models. To learn more about how SHAP works, we applied it to predicting loan defaults.Mar 21, 20192Mar 21, 20192
Dan FrankowskiMary and John: using first name to predict sex in the US works quite wellSomeone’s first name is a good clue of their sex. Mary is probably female. John is probably male. How good a clue exactly?Feb 11, 20191Feb 11, 20191
