Machine Learning Foundations Linear Algebra
Focused View
1:20:13
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01.01-introduction.mp4
01:05
01.02-what you should know.mp4
01:04
02.01-defining linear algebra.mp4
02:22
02.02-applications of linear algebra in ml.mp4
05:04
03.01-introduction to vectors.mp4
04:47
03.02-vector arithmetic.mp4
03:58
03.03-coordinate system.mp4
03:06
04.01-dot product of vectors.mp4
03:10
04.02-scalar and vector projection.mp4
02:48
04.03-changing basis of vectors.mp4
04:16
04.04-basis linear independence and span.mp4
02:54
05.01-matrices introduction.mp4
02:44
05.02-types of matrices.mp4
02:46
05.03-types of matrix transformation.mp4
02:51
05.04-composition or combination of matrix transformations.mp4
02:55
06.01-solving linear equations using gaussian elimination.mp4
04:00
06.02-gaussian elimination and finding the inverse matrix.mp4
03:06
06.03-inverse and determinant.mp4
02:58
07.01-matrices changing basis.mp4
02:09
07.02-transforming to the new basis.mp4
02:48
07.03-orthogonal matrix.mp4
02:10
07.04-gram-schmidt process.mp4
02:52
08.01-introduction to eigenvalues and eigenvectors.mp4
02:36
08.02-calculating eigenvalues and eigenvectors.mp4
03:09
08.03-changing to the eigenbasis.mp4
03:58
08.04-google pagerank algorithm.mp4
03:57
09.01-next steps.mp4
00:40
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Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 27
- duration 1:20:13
- Release Date 2023/05/04
