We have two public appearances coming up in the next few weeks:

Workshop at ODSC, San Francisco – November 14

Both of us will be giving a two-hour workshop called Preparing Data for Analysis using R: Basic through Advanced Techniques. We will cover key issues in this important but often neglected aspect of data science, what can go wrong, and how to fix it. This is part of the Open Data Science Conference (ODSC) at the Marriot Waterfront in Burlingame, California, November 14-15. If you are attending this conference, we look forward to seeing you there!

You can find an abstract for the workshop, along with links to software and code you can download ahead of time, here.

An Introduction to Differential Privacy as Applied to Machine Learning: Women in ML/DS – December 2

I (Nina) will give a talk to the Bay Area Women in Machine Learning & Data Science Meetup group, on applying differential privacy for reusable hold-out sets in machine learning. The talk will also cover the use of differential privacy in effects coding (what we’ve been calling “impact coding”) to reduce the bias that can arise from the use of nested models. Information about the talk, and the meetup group, can be found here.

We’re looking forward to these upcoming appearances, and we hope you can make one or both of them.