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Upcoming Win-Vector Appearances

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.

Categories: Administrativia data science Statistics Tutorials

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Data scientist with Win Vector LLC. I also dance, read ghost stories and folklore, and sometimes blog about it all.

1 reply

  1. And one more! John Mount at Bay Area useR Group (R Programming Language) explaining how to use the vtreat library!

    November 2015 “Official” Meetup

    Tuesday, Nov 17, 2015, 6:30 PM

    AdRoll HQ
    972 Mission St, 1st Floor San Francisco, CA

    204 Bay Area useRs Went

    6:30PM – Food and drink compliments of AdRoll 7:00 – Announcements 7:05 – Mark Hayden: Using R In Production at AdRoll 7:35 – John Mount: vtreat: Automating data preparation in R. 8:10 – John-Mark Agosta:  How Bayesian Probability found its way to Machine Learning via Artificial Intelligence: Forest Gump meets The Reverend Bayes#——————…

    Check out this Meetup →


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