Duration: (1:11:15) ?Subscribe5835 2025-02-22T18:57:32+00:00
18.06.14 Ι Ομολογία Ι Μπέκος Κώστας
(1:11:15)
How to Speak
(1:3:43)
Binomial Theorem - General Formula | Don't Memorise
(8:26)
19. Principal Component Analysis
(1:17:12)
Lecture 8: Norms of Vectors and Matrices
(49:21)
22. Gradient Descent: Downhill to a Minimum
(52:44)
Singular Value Decomposition (SVD): Matrix Approximation
(14:54)
Eckart–Young–Mirsky Theorem and Proof
(26:51)
6. Singular Value Decomposition (SVD)
(53:34)
The Big Picture of Linear Algebra
(15:57)
Positive semidefinite and positive definite matrices (visualize)
(5:31)
Gil Strang's Final 18.06 Linear Algebra Lecture
(1:5:9)
The merging operation and (d − i)-simplicial i-simple d-polytopes
(29:54)
Lec 25 | MIT 18.06 Linear Algebra, Spring 2005
(43:52)
7. Eckart-Young: The Closest Rank k Matrix to A
(47:16)
14. From Hij Integrals to H Matrices II
(53:54)
5. Positive Definite and Semidefinite Matrices
(45:27)