LinkedIn Learning - Machine Learning Foundations Linear Algebra

Files Included :

01 - Introduction.mp4 (8.62 MB)
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02 - What you should know.mp4 (5.35 MB)
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01 - Defining linear algebra.mp4 (11.17 MB)
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02 - Applications of linear algebra in ML.mp4 (22.84 MB)
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01 - Introduction to vectors.mp4 (29.95 MB)
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02 - Vector arithmetic.mp4 (12.4 MB)
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03 - Coordinate system.mp4 (9.79 MB)
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01 - Dot product of vectors.mp4 (12.4 MB)
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02 - Scalar and vector projection.mp4 (12.84 MB)
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03 - Changing basis of vectors.mp4 (17.13 MB)
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04 - Basis, linear independence, and span.mp4 (12.04 MB)
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01 - Matrices introduction.mp4 (8.38 MB)
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02 - Types of matrices.mp4 (9.62 MB)
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03 - Types of matrix transformation.mp4 (8.87 MB)
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04 - Composition or combination of matrix transformations.mp4 (11.76 MB)
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01 - Solving linear equations using Gaussian elimination.mp4 (17.05 MB)
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02 - Gaussian elimination and finding the inverse matrix.mp4 (9.73 MB)
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03 - Inverse and determinant.mp4 (8.39 MB)
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01 - Matrices changing basis.mp4 (7.39 MB)
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02 - Transforming to the new basis.mp4 (14.42 MB)
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03 - Orthogonal matrix.mp4 (6.55 MB)
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04 - Gram–Schmidt process.mp4 (11.08 MB)
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01 - Introduction to eigenvalues and eigenvectors.mp4 (10.39 MB)
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02 - Calculating eigenvalues and eigenvectors.mp4 (11.5 MB)
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03 - Changing to the eigenbasis.mp4 (13.17 MB)
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04 - Google PageRank algorithm.mp4 (12.42 MB)
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01 - Next steps.mp4 (2.51 MB)
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