AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
19min chapter
MLST #78 - Prof. NOAM CHOMSKY (Special Edition)
Machine Learning Street Talk (MLST)
Embracing Uncertainty in Neural Networks
This chapter emphasizes the critical need for probabilistic approaches in neural network modeling, advocating for a return to established probability theory to address uncertainties in real-world data. It explores the balance between modern machine learning practices and traditional methodologies, while critiquing oversimplification and discussing the significance of world models in AI.
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