Coursera - Machine Learning Foundations for Product Managers

Files Included :

01 specialization-overview.mp4 (11.31 MB)
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02 instructor-introduction.mp4 (4.46 MB)
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03 course-overiew.mp4 (15.83 MB)
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01 module-1-introduction-objectives.mp4 (1.87 MB)
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02 introduction-to-machine-learning.mp4 (30.54 MB)
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03 data-terminology.mp4 (19.1 MB)
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04 what-is-a-model.mp4 (17.79 MB)
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05 types-of-machine-learning.mp4 (12.95 MB)
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06 what-ml-can-and-cannot-do.mp4 (30.15 MB)
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01 module-wrap-up.mp4 (8.15 MB)
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01 introduction-and-objectives.mp4 (3.49 MB)
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03 building-a-model.mp4 (23.87 MB)
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04 feature-selection.mp4 (29.29 MB)
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05 algorithm-selection.mp4 (26.12 MB)
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01 bias-variance-tradeoff.mp4 (14.6 MB)
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02 test-and-validation-sets.mp4 (13.53 MB)
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03 cross-validation.mp4 (12.35 MB)
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01 module-wrap-up.mp4 (12.12 MB)
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01 introduction-and-objectives.mp4 (3.24 MB)
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03 outcomes-vs-outputs.mp4 (12.89 MB)
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04 model-output-metrics.mp4 (4.28 MB)
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01 regression-error-metrics.mp4 (20.98 MB)
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02 classification-error-metrics-confusion-matrix.mp4 (10.89 MB)
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03 classification-error-metrics-roc-and-pr-curves.mp4 (16.13 MB)
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01 troubleshooting-model-performance.mp4 (26.89 MB)
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02 module-wrap-up.mp4 (8.1 MB)
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01 introduction-and-objectives.mp4 (10.58 MB)
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03 linear-regression.mp4 (37.07 MB)
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04 regularization.mp4 (22.02 MB)
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01 logistic-regression.mp4 (30.92 MB)
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02 softmax-regression.mp4 (11.12 MB)
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01 module-wrap-up.mp4 (7.4 MB)
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01 introduction-and-objectives.mp4 (3.24 MB)
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03 tree-models.mp4 (34.18 MB)
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04 ensemble-models.mp4 (21 MB)
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05 random-forest.mp4 (23.45 MB)
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01 clustering.mp4 (21.9 MB)
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02 k-means-clustering.mp4 (8.28 MB)
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01 module-wrap-up.mp4 (20.22 MB)
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01 introduction-and-objectives.mp4 (4.99 MB)
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03 introduction-to-deep-learning.mp4 (30.55 MB)
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04 artificial-neurons.mp4 (16.01 MB)
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05 from-neurons-to-neural-networks.mp4 (15.63 MB)
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06 training-neural-networks.mp4 (26.01 MB)
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01 computer-vision.mp4 (32.33 MB)
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02 natural-language-processing.mp4 (35.79 MB)
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01 module-wrap-up.mp4 (28.09 MB)
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03 course-wrap-up.mp4 (7.81 MB)
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