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BEE 3600 Office Hours 2020-04-15

Zoom Recording ID: 596257102 UUID: 4XPTGtKYT02pvWT0J/hR0Q== Meeting Time: 2020-04-15T21:57:06Z

From  Buz Barstow 20 plays

2016 REU Cameron Ruhl CNF & PARADIM REU Convocation

From  James Overhiser 30 plays

03 - Introduction to rank and matrix algebra Session 3

2009-01-23 09:05:49+00

From  mjp337@cornell.edu 145 plays

04 - Example problems and review of known material Session 4

2009-01-26 09:06:45+00

From  mjp337@cornell.edu 47 plays

19 - Matrices of Linear Transformations with Abstract Vectors Session 19

2009-03-02 13:19:12+00

From  mjp337@cornell.edu 56 plays

29 - Determinants (Part 1) Session 29

2009-04-01 09:08:08+00

From  mjp337@cornell.edu 54 plays

31 - Determinants Part 3 Session 31

2009-04-06 09:08:42+00

From  mjp337@cornell.edu 24 plays

30 - Determinants Part 2 Session 30

2009-04-03 09:07:28+00

From  mjp337@cornell.edu 26 plays

08 - Inverse matrices: Basic facts and its relationship with linear transformations Session 8

2009-02-04 09:05:35+00

From  mjp337@cornell.edu 62 plays

34 - Eigenthings continued Session 34

2009-04-13 09:06:26+00

From  mjp337@cornell.edu 36 plays

33 - Finding eigenvectors and eigenvalues Session 33

2009-04-10 09:07:38+00

From  mjp337@cornell.edu 64 plays

35 - Eigenthings continued and diagonalization Session 35

2009-04-15 09:05:32+00

From  mjp337@cornell.edu 48 plays

36 - Examples of eigen-thing problems and linear transformations Session 36

2009-04-17 09:06:55+00

From  mjp337@cornell.edu 72 plays

41 - SVD decomposition cont'd Session 41

2009-04-29 09:06:42+00

From  mjp337@cornell.edu 57 plays

18 - Abstract vectors continued and change of basis Session 18

2009-02-27 09:11:20+00

From  mjp337@cornell.edu 25 plays

ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank Models

Principal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…

From  E. Cornelius 5 plays