Catalog · Matrix Methods in Data Analysis, Signal Processing, and Machine Learning Lecture 8 of 34 Lecture 8: Norms of Vectors and Matrices ← Previous Lecture 7: Eckart-Young: The Closest Rank k Matrix to A Next → Lecture 9: Four Ways to Solve Least Squares Problems ✓ Mark complete Materials Transcript (PDF) ↗ transcript