Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare | MIT | Artificial Intelligence Podcast
Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT Open…
Nov 25, 2019
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Gil Strang's Final 18.06 Linear Algebra Lecture
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Gil Strang's Final 18.06 Linear Algebra Lecture
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3. Multiplication and Inverse Matrices
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3. Multiplication and Inverse Matrices
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30. Linear Transformations and Their Matrices
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30. Linear Transformations and Their Matrices
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Gilbert Strang: Four Fundamental Subspaces of Linear Algebra
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Gilbert Strang: Four Fundamental Subspaces of Linear Algebra
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YouTubeLex Fridman
Course Introduction | MIT 18.06SC Linear Algebra
Course Introduction | MIT 18.06SC Linear Algebra
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Final 18.06 Lecture 2023 | Linear Algebra | Mathematics | MIT OpenCourseWare
Final 18.06 Lecture 2023 | Linear Algebra | Mathematics | MIT Open…
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mit.edu
53:17
19. Determinant Formulas and Cofactors
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Intro: A New Way to Start Linear Algebra
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27. Positive Definite Matrices and Minima
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4. Factorization into A = LU
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Part 1: The Column Space of a Matrix
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1. The Geometry of Linear Equations
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51:23
21. Eigenvalues and Eigenvectors
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An Interview with Gilbert Strang on Teaching Linear Algebra
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Video Series Overview | Learn Differential Equations: Up Close w…
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12. Graphs, Networks, Incidence Matrices
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Gilbert Strang: Linear Algebra vs Calculus
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40:29
29. Singular Value Decomposition
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23. Differential Equations and exp(At)
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11. Matrix Spaces; Rank 1; Small World Graphs
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Part 2: The Big Picture of Linear Algebra
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26. Complex Matrices; Fast Fourier Transform
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6. Column Space and Nullspace
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15. Projections onto Subspaces
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2. Elimination with Matrices.
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14. Orthogonal Vectors and Subspaces
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9. Independence, Basis, and Dimension
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