I have a confession to make: I've been cheating on this blog with another -- jetsam.substack.com. I still love this blog very much, and I'll continue using it for my writing on Data Science and other "professional" topics. But if... Continue Reading →
Howdy! I did a Q&A with the wonderful Coursera Community that I wanted to pass along. It was a fun exercise, as it helped me crystallize my thinking on a range of hiring- and career-related topics. Read on for deeply... Continue Reading →
That's Right, I Wrote A Novel Hello, prospective content consumer! I'd like to hawk you my book tell you about my comedic novel, Good Intentions. It's about an angel working at a heavenly bureaucracy that's being "disrupted" by the smartphone... Continue Reading →
I was interested in whether "woke" companies donate disproportionately to Democrats, or if their embrace of progressive causes is one big branding exercise. The answer? Kinda both (but mostly branding)! I'm unbelievably proud to say that my findings were published... Continue Reading →
EDIT: Thanks to commenter gruddock, I learned that the conference organizers took down the talks from YouTube. Please see here for the slides. They include complete speaker notes. I recently attended the Data Science Innovation in eLearning Conference (hosted by Udemy... Continue Reading →
Note: This post assumes a passing familiarity with linear regression. Aside from that, it's a highly applied intro to D-in-D regression and panel data techniques. In Due Time In one of my favorite episodes of Futurama, the universe experiences "time skips."... Continue Reading →
I wrote a post for Inside Big Data on transitioning into Data Science -- a topic I'm actually qualified to give advice on! It’s a familiar dilemma. You’ve done your research, read some books, taken some online classes – and at long... Continue Reading →
Why Even Try, Man? I recently came upon Brian Granger and Jake VanderPlas's Altair, a promising young visualization library. Altair seems well-suited to addressing Python's ggplot envy, and its tie-in with JavaScript's Vega-Lite grammar means that as the latter develops new... Continue Reading →
Note: In this post, I assume some familiarity with PyMC. If you need to get up to speed in a hurry and you're familiar with linear regression, go here for a tutorial. Alternatively, you can read for the methodological intuition,... Continue Reading →
