Lecture

Topological Data Science

Description

This lecture explores the concept of Topological Data Analysis, which focuses on understanding the 'shape of data' to reveal the underlying structure of knowledge spaces. It delves into the mathematical foundations of neural networks, emphasizing the importance of calculus, linear algebra, and probability theory. The lecture also covers the manifold hypothesis, persistent homology, and the application of topological techniques in data analysis.

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