Jun 27, 2023
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Lecture 15: Page Rank with Eigen Decompositions
Lecture 14: How to implement Linear Regression?
Lecture 13: Linear Regression in Healthcare prediction
Lecture 12: Topic Modelling with NMF and SVD
Lecture 11: Compressed sensing of CT Scans with robust regression
Lecture 10: Background removal with PCA
Lecture 9 : Principle Component Analysis
Lecture 8 : Trace and Determinant
Lecture 7 : Moore-Penrose Pseudoinverse
Lecture 6 : Singular Value Decomposition
Lecture 5 : Eigendecomposition
Lecture 4: Norms and Matrices
Lecture 3: Linear Dependence and Span
Lecture 2: Matrix Multiplication, Identity and Inverse
Lecture 1: Scalars, Vectors, Matrices and Tensors
