Tom Tom Fest Applied Machine Learning Conference 2019

The 2019 iteration of Tom Tom Fest (named after Thomas Jefferson) starts in under a month, and the Applied Machine Learning Conference (AMLC) is just over a month away, on April 11, in Charlottesville, VA! This is a conference I’ve helped plan since the beginning, and it’s grown in 3 years from a single theater… Continue reading Tom Tom Fest Applied Machine Learning Conference 2019

Hi #DemystifyDS Attendees!

I’m assuming that some people who see my talk at Demystifying Data Science conference will be dropping by here, so I wanted to put up a quick post summarizing some of the resources I have made available to data science learners!

Becoming a Data Scientist Podcast Special Episode

Becoming a Data Scientist podcast, Partially Derivative podcast, Adversarial Learning podcast, and some other awesome data people that do elections forecasting for their day jobs joined together for this talk about the US election and the subsequent major questions surrounding the predictions, since basically all of them heavily leaned toward a different overall outcome than we got. If you’re interested at all in data science surrounding political campaigns, this episode is a must-listen!

“Becoming a Data Scientist” Learning Club?

I have been thinking about doing a “Becoming a Data Scientist” podcast for a long time, at least since April. The podcast would include interviews focused on how people working in various data-science-related jobs got to where they are today (how did they “become a data scientist”?). I’m getting closer to taking the dive and getting it started.

I had an idea today that would take it a step further. Imagine how book clubs work where you pick a book, go off and read it, then gather occasionally to discuss and record your thoughts. Except instead of a book club, it’s a data science learning club!