AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
#66 ALEXANDER MATTICK - [Unplugged / Community Edition]
Machine Learning Street Talk (MLST)
Machine Learning - Ret Versus Continuous
In practice, you don't actually have a function in machinery. You have samples from a function, and that changes things entirely. And even if i blow it up to infinity, like if if there's space between two samples, which would in the ideal case, want to sample, you can't because you don't have any samples there. There are problems that are still, you know, continuous in nature. I mean, we need to still give out continuous answers, right? Yes. But there's always the defundmetal fundamendal question, if do i even give an answer? Doa change what i'm doing, for example?
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