Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore dimensionality reduction techniques through this comprehensive lecture covering dot-product operations, projection onto orthogonal subspaces, Singular Value Decomposition (SVD), and best-rank-k approximations, culminating in a detailed examination of Principal Component Analysis (PCA) as the combination of data centering and SVD methods.
