A few podcast recommendations

After avoiding the entire medium for years, I've been rather getting into listening to podcasts lately. As a worker-from-home I don't have a commute (the natural use case of podcasts, I guess), but I have been travelling a lot more recently and it's been great to listen to during long flights. It turns out there are a lot of great podcasts out there about R, data science, and AI, so if you're looking for something to listen to here's what's currently in rotation for me:

• Not So Standard Deviations. Roger Peng and Hilary Parker chat about data science, real-world data analysis, and building ancient versions of R. 
• DataFramed. DataCamp's offical podcast features interviews with prominent members of the R and Data Science communities.
• The R Podcast. Practical advice on using R, and interviews with R developers.
• This Week in Machine Learning and AI. Interviews with AI and machine learning practitioners, with a good mix of technical and application-oriented topics.
• The Microsoft Research Podcast. Frequently features researchers working on artificial intelligence and novel data analysis methodology.
• And, for general interest / entertainment: Bombshell, Marketplace and (our namesake, but no relation) Revolutions.

What other podcasts are you enjoying right now? Let us know your recommendations in the comments.

Comments

[Gerald Belton]

The Art of Manliness podcast and Not So Standard Deviations are my 2 favs.

[Navneeth]

Talking Machines

Partially Derivative - although now no longer produced, the episodes with with interviews were good.

[Atmajitsinh Gohil]

Data Stories <- great podcast about new developments in the field of data visualization.

[Mark Chase]

I listen to a few of the ones listed above. I also listen to Data Skeptic.

[ginette]

Data Crunch. It's a little more general than the other ones, but it has some good episodes from the likes of Hilary Mason and Dave Robinson. It also looks at interesting applications of AI and ML in some episodes.

[John D. Smith]

Stats + Stories is good (and has a nice tagline: the stories behind the Stats and the stats behind the stories).

The Data Lab: https://thedatalab.io