AI Will Not Reduce Discrimination in Hiring Practices. Does the Public Agree?

This is the 1st article in a 2-part series on the use of AI in hiring. The 2nd part will be available on Wednesday, January 8th. Arvind Narayanan somewhat recently put out a presentation called “How to recognize AI snake oil.” It’s incredible, and I highly recommend reading it in full. He also has a … Continue reading AI Will Not Reduce Discrimination in Hiring Practices. Does the Public Agree?

Some Things You (Maybe) Didn’t Know About Linear Regression

There are endless blog posts out there describing the basics of linear regression and penalized regressions such as ridge and lasso. These are useful resources, and I’m happy they exist to level the playing field both for people not in college and for people who don’t have the time or fortitude to trudge through mountains … Continue reading Some Things You (Maybe) Didn’t Know About Linear Regression

Scikit-learn’s Defaults are Wrong

This recent Tweet erupted a discussion about how logistic regression in Scikit-learn uses L2 penalization with a lambda of 1 as default options. If you don’t care about data science, this sounds like the most incredibly banal thing ever. If you do care about data science, especially from the statistics side of things, well, have … Continue reading Scikit-learn’s Defaults are Wrong