Linkedin.Learning.Machine.Learning.Foundations.Lin ear.Algebra
Language: English
Files Type:sfv, pdf, nfo, mkv, ipynb| Size:312.41 MB
Video:01:20:13 | 1280X720 | 732 Kbps
Audio:A_AAC-2 | 127 Kbps | AAC
Genre:eLearning


Videos Files :
01.01 introduction.mkv (8.54 MB)
01.02 what you should know.mkv (5.28 MB)
02.01 defining linear algebra.mkv (11.02 MB)
02.02 applications of linear algebra in ml.mkv (22.5 MB)
03.01 introduction to vectors.mkv (29.62 MB)
03.02 vector arithmetic.mkv (12.13 MB)
03.03 coordinate system.mkv (9.59 MB)
04.01 dot product of vectors.mkv (12.18 MB)
04.02 scalar and vector projection.mkv (12.65 MB)
04.03 changing basis of vectors.mkv (16.84 MB)
04.04 basis linear independence and span.mkv (11.84 MB)
05.01 matrices introduction.mkv (8.2 MB)
05.02 types of matrices.mkv (9.44 MB)
05.03 types of matrix transformation.mkv (8.67 MB)
05.04 composition or combination of matrix transformations.mkv (11.56 MB)
06.01 solving linear equations using gaussian elimination.mkv (16.78 MB)
06.02 gaussian elimination and finding the inverse matrix.mkv (9.51 MB)
06.03 inverse and determinant.mkv (8.18 MB)
07.01 matrices changing basis.mkv (7.25 MB)
07.02 transforming to the new basis.mkv (14.24 MB)
07.03 orthogonal matrix.mkv (6.4 MB)
07.04 gram schmidt process.mkv (10.88 MB)
08.01 introduction to eigenvalues and eigenvectors.mkv (10.21 MB)
08.02 calculating eigenvalues and eigenvectors.mkv (11.29 MB)
08.03 changing to the eigenbasis.mkv (12.91 MB)
08.04 google pagerank algorithm.mkv (12.16 MB)
09.01 next steps.mkv (2.47 MB)

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