Ask HN: What's your favorite tech podcasts, and how to you find them?
1. What's your favorite tech podcasts?
2. How do you go about finding the top most relevant ones for you? Is there a way to search/slice/dice among topics etc somewhere?
BACKGROUND
I'm finally starting to get into listening to some tech podcasts, but I find it really hard to know which ones to listen to. I feel I really want the best and most relevant stuff for me particularly, to make it worth the slight distraction that a podcast still is. So, what's your favorite ones, and how do you find your favorites?
I found a thread from early 2017 [1] but I feel this field is developing somewhat fast, so would be interested in updated views on this.
[1] https://news.ycombinator.com/item?id=13747563
(FTR, I already listen "Practical AI" and "Go time" from time to time).
16 comments
[ 3.1 ms ] story [ 57.7 ms ] threadCoRecursive : Long form interviews around a particular topic per episode, with a focus on programming languages and functional programming. This is my podcast. http://corecursive.com
For finding podcasts, that is tricky. One tip I have is to use https://www.listennotes.com/ to search for a subject. I recently a book by Adam Grant, as was able to easily find all the podcast interviews he had done by searching for him on listen notes. I may not subscribe to all of them, but its great if I want to do a deep dive on someone who is doing the interview rounds.
Hangouts with James Fee is a podcast primarily about the business side of GIS, I haven't seen a new one in a long while now though. https://www.stitcher.com/podcast/hangouts-with-james-fee
Other podcasts in my very subjective order if value : the cognitect podcast, ycombinator podcast, functional geekery, software engineering daily, a16z podcast, masters of scale, talk python to me, GCP podcast.
As for how I go about finding new podcasts, unfortunately I have not found a good aggregator/rating site, so I just stay alert for mentions from other podcasts.
It is possibly the best ML podcast available. It is fairly technical and assumes a base level of ML and Statistics competency.
It is great way to keep in touch the ML landscape and doesn't feel like a watered down discussion for newbies.
I've tried a few more for ML, but they are either not hosted well, or talk more about everything around ML than about it.
https://corecursive.com/