Google Cloud Professional Machine Learning Engineer Cert Prep 1 Framing ML Problems

Files Included :

01 - Course and Google Professional Machine Learning Engineer exam overview.mp4 (7.74 MB)
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02 - Course 1 key terminology.mp4 (6.77 MB)
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01 - Building AI-enabled workflows.mp4 (3.5 MB)
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02 - Using AI tools to build AI tools.mp4 (3.27 MB)
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03 - Teaching MLOps at scale with GitHub.mp4 (74.3 MB)
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01 - Simulations vs experiment tracking.mp4 (17.31 MB)
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02 - When to use ML.mp4 (3.3 MB)
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03 - Supervised vs unsupervised ML.mp4 (4.33 MB)
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04 - Optimization.mp4 (3.48 MB)
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05 - Clustering.mp4 (3.54 MB)
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01 - Defining business success criteria.mp4 (5.27 MB)
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01 - MLOps hierachy of needs.mp4 (6.26 MB)
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02 - Hidden costs of bespoke systems.mp4 (4.01 MB)
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03 - Data poisoning.mp4 (6.73 MB)
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01 - Next steps.mp4 (2.61 MB)
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