25 episodes

@joelgrus and @akm talk about data, science, data science, Shingy, and whatever else they feel like

Adversarial Learning Joel Grus

    • Technology
    • 4.8 • 18 Ratings

@joelgrus and @akm talk about data, science, data science, Shingy, and whatever else they feel like

    Adversarial Distancing, Episode 4: Joel's Fizz Buzz Book

    Adversarial Distancing, Episode 4: Joel's Fizz Buzz Book

    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.

    • 53 min
    Adversarial Distancing, Episode 3: Two Conversations with Jowanza

    Adversarial Distancing, Episode 3: Two Conversations with Jowanza

    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.

    • 1 hr 31 min
    Adversarial Distancing - Episode 2

    Adversarial Distancing - Episode 2

    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.

    • 51 min
    Adversarial Distancing - Episode 1

    Adversarial Distancing - Episode 1

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

    • 40 min
    Episode 21: The Cold Start Problem for Becoming a DJ

    Episode 21: The Cold Start Problem for Becoming a DJ

    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.

    • 59 min
    Episode 20: Churn! Churn! Churn!

    Episode 20: Churn! Churn! Churn!

    Our guest this episode is Carl Gold (@carl24k),
    Chief Data Scientist at Zuora and author of the forthcoming book
    Fighting Churn with Data.
    Use the discount code podadvl19 to save some unspecified amount on it.

    Topics include

    * churn
    * writing a book
    * churn
    * running a subscription business
    * churn
    * domain expertise
    * p-hacking
    * churn
    * how Joel picks what song to use for the podcast intro
    * churn

    • 1 hr 9 min

Customer Reviews

4.8 out of 5
18 Ratings

18 Ratings

tdnaugle ,

Comfortable and substantive

The hosts and guests are genuine and have an organic conversation as if we aren't even there. Pretty good balance between the day-to-day realities of data science vs technical details, and there's not a lot of fetishizing the latest tech trends.

Listen to this if you want a realistic window into the world of data science, as opposed to the bubblegum, overproduced approach of others.

PjoBOOM ,

Good stuff

Not a formally structured or executed podcast but a delight to listen to. These guys' sense of humor and snark is right up my alley. Some legit insight among the smartassery. Good guests so far, too.

lazarill0 ,

Great discussions, but...

When they get into the actual details of particular technology, techniques, or methods, it's *really* great and I learn a great deal. But a lot of the time they sound like smart, snarky kids teasing dumber kids. As successful professionals, they should be able to avoid this: when life is going well, there's no reason to be mean and snarky.

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