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Linear Algebra and Optimization for Machine Learning [2020]

1
Linear Algebra and Optimization: An Introduction
2
Linear Transformations and Linear Systems
3
Eigenvectors and Diagonalizable Matrices
4
Optimization Basics: A Machine Learning View
5
Advanced Optimization Solutions
6
Constrained Optimization and Duality
7
Singular Value Decomposition
8
Matrix Factorization
9
The Linear Algebra of Similarity
10
The Linear Algebra of Graphs
11
Optimization in Computational Graphs
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