Singular Value Decomposition

About Course
In this Singular Value Decomposition course, you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems.
Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensionality of the user-product preference space.
Then you will learn about techniques that combine the strengths of different algorithms into powerful hybrid recommenders.
Course Content
Singular Value Decomposition
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Singular Value Decomposition (SVD): Overview
00:00 -
Singular Value Decomposition (SVD): Mathematical Overview
00:00 -
Singular Value Decomposition (SVD): Matrix Approximation
00:00 -
Singular Value Decomposition (SVD): Dominant Correlations
00:00 -
SVD: Image Compression [Matlab]
00:00 -
SVD: Image Compression [Python]
00:00 -
The Frobenius Norm for Matrices
00:00 -
SVD Method of Snapshots
00:00 -
Matrix Completion and the Netflix Prize
00:00 -
Unitary Transformations
00:00 -
Unitary Transformations and the SVD [Matlab]
00:00 -
Unitary Transformations and the SVD [Python]
00:00 -
Linear Systems of Equations, Least Squares Regression, Pseudoinverse
00:00 -
Least Squares Regression and the SVD
00:00 -
Linear Systems of Equations
00:00 -
Linear Regression
00:00 -
Linear Regression 1 [Matlab]
00:00 -
Linear Regression 2 [Matlab]
00:00 -
Linear Regression 1 [Python]
00:00 -
Linear Regression 2 [Python]
00:00 -
Linear Regression 3 [Python]
00:00 -
Principal Component Analysis (PCA)
00:00 -
Principal Component Analysis (PCA) [Matlab]
00:00 -
Principal Component Analysis (PCA) 1 [Python]
00:00 -
Principal Component Analysis (PCA) 2 [Python]
00:00 -
SVD: Eigenfaces 1 [Matlab]
00:00 -
SVD: Eigenfaces 2 [Matlab]
00:00 -
SVD: Eigenfaces 3 [Matlab]
00:00 -
SVD: Eigenfaces 4 [Matlab]
00:00 -
SVD: Eigen Action Heros [Matlab]
00:00 -
SVD: Eigenfaces 1 [Python]
00:00 -
SVD: Eigenfaces 2 [Python]
00:00 -
SVD: Eigenfaces 3 [Python]
00:00 -
SVD and Optimal Truncation
00:00 -
SVD: Optimal Truncation [Matlab]
00:00 -
SVD: Optimal Truncation [Python]
00:00 -
SVD and Alignment: A Cautionary Tale
00:00 -
SVD: Importance of Alignment [Python]
00:00 -
SVD: Importance of Alignment [Matlab]
00:00 -
Randomized Singular Value Decomposition (SVD)
00:00 -
Randomized SVD: Power Iterations and Oversampling
00:00 -
Randomized SVD Code [Matlab]
00:00 -
Randomized SVD Code [Python]
00:00
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