Coursera - Managing Machine Learning Projects

Files Included :

01 specialization-overview.mp4 (10.8 MB)
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02 instructor-introduction.mp4 (4.37 MB)
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03 course-overiew.mp4 (15.91 MB)
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01 introduction-objectives.mp4 (2.93 MB)
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03 identifying-opportunities.mp4 (31.9 MB)
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05 validating-product-ideas.mp4 (18.34 MB)
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01 benefits-of-ml-in-products.mp4 (17.81 MB)
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02 ml-vs-heuristics.mp4 (12.84 MB)
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01 module-wrap-up.mp4 (9.1 MB)
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01 introduction-and-objectives.mp4 (7.21 MB)
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03 ml-projects-vs-software-projects.mp4 (27.35 MB)
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05 crisp-dm-data-science-process.mp4 (28.15 MB)
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06 crisp-dm-case-study.mp4 (75.37 MB)
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01 team-organization.mp4 (27.14 MB)
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02 organizing-the-project.mp4 (18.12 MB)
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03 measuring-performance.mp4 (31.74 MB)
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01 module-wrap-up.mp4 (6.64 MB)
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01 introduction-and-objectives.mp4 (9.11 MB)
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03 data-needs.mp4 (36.3 MB)
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04 data-collection.mp4 (30.21 MB)
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01 data-governence-access.mp4 (20.06 MB)
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03 data-cleaning.mp4 (26.72 MB)
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04 preparing-data-for-modeling.mp4 (25.22 MB)
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05 reproducibility-versioning.mp4 (30.12 MB)
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01 module-wrap-up.mp4 (6.61 MB)
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01 introduction-and-objectives.mp4 (3.17 MB)
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03 ml-system-design-considerations.mp4 (17.69 MB)
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04 cloud-vs-edge.mp4 (33.73 MB)
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05 online-learning-inference.mp4 (22.74 MB)
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06 ml-on-big-data.mp4 (9.73 MB)
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01 ml-technology-selection.mp4 (15.7 MB)
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02 common-ml-tools.mp4 (29.96 MB)
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01 module-wrap-up.mp4 (7.05 MB)
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01 introduction-and-objectives.mp4 (6.83 MB)
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03 ml-system-failures.mp4 (43.39 MB)
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01 ml-system-monitoring.mp4 (24.68 MB)
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02 model-maintenance.mp4 (26.86 MB)
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03 model-versioning.mp4 (11.48 MB)
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04 organizational-considerations.mp4 (12.53 MB)
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01 module-wrap-up.mp4 (4.53 MB)
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02 course-wrap-up.mp4 (7.55 MB)
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