AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
2min chapter
Kernel Density Estimation with Seaton Ullberg
Rustacean Station
Is There a Way That Katie Can Say, Okay, This Dimension Is Not Fit for This Kind of Model?
There are statistical techniques out there to do that. PCA principal component analysis is a super useful exploratory or data exploration technique, but it doesn't really have any crossover with Katie and whatever in my library. So they could be used in conjunction, but yeah, PCA is just the better technique for that kind of a jump.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode