The Fascinating Connection Between PCA and SVD
Wouldn’t it be amazing if there was a way to reduce the complexity of data while preserving its inherent structure and patterns? Well, it turns out that two powerful techniques, Principal Component Analysis (PCA) and Singular Value Decomposition (SVD), share a remarkable connection that can help us achieve just that. Let’s dive into this captivating … Read more