QR Decomposition (Module6, Part 3) Introduction to Linear Algebra for Computer Science
This module will cover the following topics:
1- #Linear #Transformations
2- #Eigenvalues and #Eigenvectors
3- LU #Decomposition
4- #QR #Decomposition
5- #Eigendecomposition
6- #SVD
#linearalgebra #computerscience
These slides are based on the slides and the book entitled "Introduction to Applied Linear Algebra" by , Boyd & Vandenberghe,
as well as the book entitled "Mathematics for Machine Learning" by Deisenroth, Faisal, and Ong.
[1] Boyd, Stephen, and Lieven Vandenberghe. Introduction to applied linear algebra: vectors, matrices, and least squares. Cambridge university press, 2018.
[2] Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for machine learning. Cambridge University Press, 2020.
Видео QR Decomposition (Module6, Part 3) Introduction to Linear Algebra for Computer Science канала Hadi Amini
1- #Linear #Transformations
2- #Eigenvalues and #Eigenvectors
3- LU #Decomposition
4- #QR #Decomposition
5- #Eigendecomposition
6- #SVD
#linearalgebra #computerscience
These slides are based on the slides and the book entitled "Introduction to Applied Linear Algebra" by , Boyd & Vandenberghe,
as well as the book entitled "Mathematics for Machine Learning" by Deisenroth, Faisal, and Ong.
[1] Boyd, Stephen, and Lieven Vandenberghe. Introduction to applied linear algebra: vectors, matrices, and least squares. Cambridge university press, 2018.
[2] Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for machine learning. Cambridge University Press, 2020.
Видео QR Decomposition (Module6, Part 3) Introduction to Linear Algebra for Computer Science канала Hadi Amini
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