Discover why more dimensions can spell trouble for data and learning, turning simple problems into complex, high-dimensional challenges!

Explore the depths of non-linear dimensionality reduction methods! Unravel complex data structures and enhance your analytics.

In this article, we explored PCA and SVD, the two most used linear dimensionality reduction techniques.