
@joelgrus and @akm talk about data, science, data science, Shingy, and whatever else they feel like
| Publishes | Monthly | Episodes | 26 | Founded | 9 years ago |
|---|---|---|---|---|---|
| Category | Technology | ||||

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, ... more
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 experi... more
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 ... more
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Clever conversations about data science with a nice amount of friction between them.
It could use a bit more planning/effort in preparation of a general thesis to each episode as well as at least a few talking points to help keep things moving. This would help prevent the conversation from meandering too much.
Additionally a bit of post production editing might go a long way. Simply recording a Skype call, complete with all the technical difficulties and long silent pauses, makes each episode much longer than it needs to be and difficult to get through
It's like a conversation with friends at the pub. Light hearted, a few detours but ultimately a straight shooting discussion of all things data.
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.
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.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #238 |
Listeners, social reach, demographics and more for this podcast.
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These podcasts share a similar audience with Adversarial Learning:
1. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
2. Data Skeptic
3. MLOps.community
4. Super Data Science: ML & AI Podcast with Jon Krohn
5. CoRecursive: Coding Stories
Adversarial Learning launched 9 years ago and published 26 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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