download скачать Free download скачать : Coursera - Mathematics for Machine Learning Linear Algebra
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:1.52 GB
Files Included :
01 introduction-solving-data-science-challenges-with-mathematics.mp4 (15.82 MB)
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01 motivations-for-linear-algebra.mp4 (26.42 MB)
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02 getting-a-handle-on-vectors.mp4 (68.14 MB)
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01 operations-with-vectors.mp4 (82.03 MB)
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01 summary.mp4 (8.41 MB)
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01 introduction-to-module-2-vectors.mp4 (6.82 MB)
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01 modulus-inner-product.mp4 (66.24 MB)
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02 cosine-dot-product.mp4 (38.63 MB)
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03 projection.mp4 (53.51 MB)
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01 changing-basis.mp4 (75.77 MB)
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03 basis-vector-space-and-linear-independence.mp4 (32.1 MB)
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04 applications-of-changing-basis.mp4 (25.09 MB)
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02 summary.mp4 (9.99 MB)
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01 matrices-vectors-and-solving-simultaneous-equation-problems.mp4 (40.51 MB)
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01 how-matrices-transform-space.mp4 (44.08 MB)
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02 types-of-matrix-transformation.mp4 (65.5 MB)
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03 composition-or-combination-of-matrix-transformations.mp4 (62.66 MB)
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01 solving-the-apples-and-bananas-problem-gaussian-elimination.mp4 (59.49 MB)
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02 going-from-gaussian-elimination-to-finding-the-inverse-matrix.mp4 (63.48 MB)
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01 determinants-and-inverses.mp4 (76.56 MB)
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02 summary.mp4 (7.12 MB)
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01 matrices-changing-basis.mp4 (85.72 MB)
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02 doing-a-transformation-in-a-changed-basis.mp4 (32.61 MB)
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01 orthogonal-matrices.mp4 (46.81 MB)
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01 the-gram-schmidt-process.mp4 (48.2 MB)
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02 example-reflecting-in-a-plane.mp4 (108.03 MB)
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01 welcome-to-module-5.mp4 (5.47 MB)
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02 what-are-eigenvalues-and-eigenvectors.mp4 (31.05 MB)
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01 special-eigen-cases.mp4 (21.94 MB)
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02 calculating-eigenvectors.mp4 (72.98 MB)
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01 changing-to-the-eigenbasis.mp4 (39.94 MB)
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02 eigenbasis-example.mp4 (51.43 MB)
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01 introduction-to-pagerank.mp4 (60.38 MB)
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02 summary.mp4 (8.73 MB)
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03 wrap-up-of-this-linear-algebra-course.mp4 (16.2 MB)
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https://rapidgator.net/file/e87a28340aa257ac9be65a08c05c70ad/Coursera_-_Mathematics_for_Machine_Learning_Linear_Algebra.zip
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