Reading:
Singular Value Decomposition (SVD) Principal Component Analysis (PCA)
Singular Value Decomposition (SVD)
Principal Component Analysis (PCA)
Videos:
Sections 9.0 and 9.1 - Introduction to SVD Section 9.2 - How SVD Changes Vectors Section 9.3 - Rank from the SVD Section 9.4 - Condition Number Section 9.5 - Fundamental Matrix Subspaces Section 9.6 - Dimensionality Reduction Section 9.7 - Over SVD Application - Alternate Projection Chapter 10 - PCA Chapter 10 - PCA for Recognition
Sections 9.0 and 9.1 - Introduction to SVD
Section 9.2 - How SVD Changes Vectors
Section 9.3 - Rank from the SVD
Section 9.4 - Condition Number
Section 9.5 - Fundamental Matrix Subspaces
Section 9.6 - Dimensionality Reduction
Section 9.7 - Over SVD Application - Alternate Projection
Chapter 10 - PCA
Chapter 10 - PCA for Recognition
Assignments:
Markov Matrix of Land Use Video: Markov Matrix Homework assignment System of Linear ODEs Homework New Video: Systems of Linear ODEs Homework assignment Progress Check Quizzes: 8.4, 8.5, Week 12 Progress Check Quiz Hints
Markov Matrix of Land Use
Video: Markov Matrix Homework assignment
System of Linear ODEs Homework
New Video: Systems of Linear ODEs Homework assignment
Progress Check Quizzes: 8.4, 8.5, Week 12 Progress Check Quiz Hints
1.2.11. Week 11 - 11/2 - EXAM 2
1.2.13. Week 13 - 11/16
