Machine Learning Street Talk (MLST) cover image

MLST #78 - Prof. NOAM CHOMSKY (Special Edition)

Machine Learning Street Talk (MLST)

CHAPTER

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
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner