Geometry is a subfield of mathematics that concerns itself with reasoning about spaces that have a notion of distance defined on them. In this module, we will see why this is one of the core elements of modern machine learning and how geometric concepts can be used to reason about data and to inspire algorithms for clustering and dimensionality reduction.

The following lesson are already released:

5.1 Geometry and Data

5.2 Geodesic Distances

5.3 Dimensionality Reduction

5.4 Clustering

<aside> ⬅️ 4.5 Summary

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<aside> ➡️ 5.1 Geometry and Data

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