Machine Learning Street Talk (MLST) cover image

How Machines Learn to Ignore the Noise (Kevin Ellis + Zenna Tavares)

Machine Learning Street Talk (MLST)

00:00

Intro

This chapter explores the challenges of developing AI models from restricted datasets, highlighting the significance of compositionality and the dangers of combinatorial explosion. The conversation also emphasizes the role of human hypothesis formation and the necessity for multi-level abstract models in advancing AI through scientific reasoning.

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