Resources | Matrix Methods in Data Analysis, Signal Processing, and Machine Learning | Mathematics | MIT OpenCourseWare
Resources | Matrix Methods in Data Analysis, Signal Processing, and …
Nov 3, 2022
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Course Introduction of 18.065 by Professor Strang
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Course Introduction of 18.065 by Professor Strang
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An Interview with Gilbert Strang on Teaching Matrix Methods in Data Analysis, Signal Processing,...
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An Interview with Gilbert Strang on Teaching Matrix Methods in Data …
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Lecture 17: Rapidly Decreasing Singular Values | Matrix Methods in Data Analysis, Signal Processing, and Machine Learning | Mathematics | MIT OpenCourseWare
Lecture 17: Rapidly Decreasing Singular Values | Matrix Methods i…
Apr 1, 2022
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Lecture 2: Multiplying and Factoring Matrices
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Lecture 2: Multiplying and Factoring Matrices
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Lecture 1: The Column Space of A Contains All Vectors Ax
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Lecture 1: The Column Space of A Contains All Vectors Ax
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Lecture 21: Minimizing a Function Step by Step
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Lecture 21: Minimizing a Function Step by Step
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Lecture 36: Alan Edelman and Julia Language
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45:27
5. Positive Definite and Semidefinite Matrices
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52:24
Lecture 13: Randomized Matrix Multiplication
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12. Computing Eigenvalues and Singular Values
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Lecture 8: Norms of Vectors and Matrices
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Lecture 30: Completing a Rank-One Matrix, Circulants!
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23. Accelerating Gradient Descent (Use Momentum)
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22. Gradient Descent: Downhill to a Minimum
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49:24
3. Orthonormal Columns in Q Give Q'Q = I
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4. Eigenvalues and Eigenvectors
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27. Backpropagation: Find Partial Derivatives
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53:03
25. Stochastic Gradient Descent
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53:34
24. Linear Programming and Two-Person Games
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53:34
6. Singular Value Decomposition (SVD)
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56:07
33. Neural Nets and the Learning Function
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49:36
Lecture 10: Survey of Difficulties with Ax = b
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Lecture 11: Minimizing ‖x‖ Subject to Ax = b
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49:51
9. Four Ways to Solve Least Squares Problems
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Lecture 18: Counting Parameters in SVD, LU, QR, Saddle Points
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15. Matrices A(t) Depending on t, Derivative = dA/dt
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19. Saddle Points Continued, Maxmin Principle
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47:19
Lecture 32: ImageNet is a Convolutional Neural Network (CN…
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31. Eigenvectors of Circulant Matrices: Fourier Matrix
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