by Nina Zumel
Principal Consultant Win-Vector LLC
We've just finished off a series of articles on some recent research results applying differential privacy to improve machine learning. Some of these results are pretty technical, so we thought it was worth working through concrete examples. And some of the original results are locked behind academic journal paywalls, so we've tried to touch on the highlights of the papers, and to play around with variations of our own.