Executive Guide to Deploying, Monitoring, and Maintaining Models

Files Included :

01 - Data and supervised machine learning.mp4 (8.36 MB)
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02 - Data engineering and MLOps in the ML lifecycle.mp4 (20.79 MB)
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03 - Why ML projects fail to be deployed.mp4 (15.52 MB)
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04 - The basics of ML modeling.mp4 (4.63 MB)
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01 - The business evaluation phase.mp4 (16.71 MB)
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02 - A deployment checklist.mp4 (13.43 MB)
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01 - Scoring traditional ML models.mp4 (4.71 MB)
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02 - Scoring a black box model.mp4 (12.1 MB)
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03 - Scoring an ensemble.mp4 (6.44 MB)
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01 - Batch vs real-time scoring.mp4 (12.58 MB)
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02 - Data prep and scoring.mp4 (7.65 MB)
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03 - Combining batch and real-time scoring.mp4 (3.79 MB)
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01 - What is model monitoring.mp4 (14.88 MB)
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02 - How often should you rebuild.mp4 (11.57 MB)
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