Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: SubSpace

The video tutorial explains the concept of subspace in vector spaces, emphasizing its importance in data science, particularly in dimensionality reduction. It discusses how data can lie in a subspace with fewer dimensions than the original space, allowing for data compression. The tutorial also covers the process of finding the basis of a subspace and touches on the concept of nonlinear manifolds, which may require different approaches for dimensionality reduction.

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