5min chapter

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#120 - Iolo Jones: Riemannian Diffusion Geometry, Geometric Data Analysis, Markov Chains

Scraping Bits

CHAPTER

Optimizing Computation in High Dimensions

This chapter examines the relationship between gradient descent, diffusion processes, and data geometry. It emphasizes the importance of learning rates and step selection in high-dimensional spaces while exploring theoretical concepts that could improve computational efficiency.

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