Media Summary: Fit for purpose data store for AI workloads → Discover how Principal Component This video is gentle and motivated introduction to Principal Component Why would we want to reduce the number of features ? And how do we do it ?
11 Dimensionality Reduction Explained Simplify - Detailed Analysis & Overview
Fit for purpose data store for AI workloads → Discover how Principal Component This video is gentle and motivated introduction to Principal Component Why would we want to reduce the number of features ? And how do we do it ? This video is part of the Udacity course "Introduction to Computer Vision". Watch the full course at ... Most of the datasets you'll find will have more than 3 dimensions. How are you supposed to understand visualize n- In this video, we explain how Principal Component Analysis (PCA) works and how it's used for dimensionality reduction. Learn ...
Drowning in high-dimensional data? Can't visualize beyond 3D? Algorithms running too slow?
