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Call for presenters -- Data Science DC!

From: Harlan H.
Sent on: Friday, October 7, 2011 2:02 PM
Hi everyone,

For the Data Science DC Meetup, we'd like to start an occasional series called "Data Science Classroom", in which someone presents a relatively-basic topic, covering it from all of the quirky angles that a Data Scientist might care about.

An example topic, and one we're suggesting for a Meetup at the end of this month, would be "Logistic Regression and Naive Bayes". Topics might include: what sorts of data can/should you analyze with these related techniques, what are their historical origins, how are they different and similar, what are best practices for using them, how might you visualize the results from these models or communicate results to various sorts of audiences, what software tools are available for these models, how to use these models with Big Data, etc.

If you know (or are willing to learn!) a lot about these techniques, and if you'd like the opportunity to talk about them in front of our outstanding and very diverse membership, please let us know!

We're tentatively thinking Tuesday October 25th for the next DSDC Meetup, but please let us know if this conflicts with anything we've missed.

Also, for November, we're tentatively thinking of a topic like "Selling Data Science Projects and Results to People with Budgets", done as very short presentations followed by a panel discussion. If you have wisdom about this important topic that you'd like to share, please drop us a line!

 -Harlan
 

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