Adversarial Learning Joel Grus

It's been a couple of years, so Joel and Andrew catch up on what's new in life and in data science.

It turns out Joel wrote another book: Ten Essays on Fizz Buzz (Quarantine does strange things to a person.)

In this episode Andrew and Joel discuss Fizz Buzz, what makes the book interesting, the value of deconstructing problems in different ways, Joel's side career in acting, why fluffy talks are easier to write than technical talks, the importance of staying fresh, whether "blocklist admin" is the job of the future, Minecraft classes, and how the quarantine is affecting our kids.

Please listen to it.

About a month ago we recorded a podcast with Jowanza Joseph about engineering and COVID-19 and other mundane topics.

While I (Joel) was procrastinating on editing it, a lot happened in the world. And then Jowanza wrote a blog post about his experiences with racism and how they've affected his life.

Which made it feel really weird to just put out an episode with him that doesn't mention any of these issues. So the three of us went back into the (metaphorical) studio and recorded another episode mostly about his blog post, about racism, and about the state of the world. (As always, we are incapable of staying 100% on-topic, but we did pretty good.)

These aren't necessarily easy topics to discuss, but I think we did a respectful job of it, and I hope you find it interesting and worthwhile. The original podcast episode follows the new one, so you get two episodes in one.

Please listen to it.

Joel and Andrew break quarantine (metaphorically) to discuss treehouses, remote work, distance schooling, outschool.com, Joel's attempt to teach his daughter Python, old-school text adventures, socially-distanced eating, the Twitter UI, what happens to school in the fall, OKRs, and whether we should keep the economy closed or re-open it and kill people.
Please listen to it.

in which Joel and Andrew briefly break quarantine to talk about Covid-19, social distancing, and the data science grift

Our guest this week is Pardis Noorzad (@djpardis), former data science manager at Twitter and now Head of Data Science at Carbon Health. Our conversation spans a wide range of topics:
the Tenderloin Carbon Health what Duran Duran has to do with Black History Month the "cold start problem" for becoming a DJ how long it takes to achieve domain expertise how many people there are in Canada how getting that first data science job is like DJ-ing loyalty the Go programming language the Hopper-Causey effect data science as quality control Please listen to it.