01 - Data and supervised machine learning.mp4 (8.36 MB) MP4 02 - Data engineering and MLOps in the ML lifecycle.mp4 (20.79 MB) MP4 03 - Why ML projects fail to be deployed.mp4 (15.52 MB) MP4 04 - The basics of ML modeling.mp4 (4.63 MB) MP4 01 - The business evaluation phase.mp4 (16.71 MB) MP4 02 - A deployment checklist.mp4 (13.43 MB) MP4 01 - Scoring traditional ML models.mp4 (4.71 MB) MP4 02 - Scoring a black box model.mp4 (12.1 MB) MP4 03 - Scoring an ensemble.mp4 (6.44 MB) MP4 01 - Batch vs real-time scoring.mp4 (12.58 MB) MP4 02 - Data prep and scoring.mp4 (7.65 MB) MP4 03 - Combining batch and real-time scoring.mp4 (3.79 MB) MP4 01 - What is model monitoring.mp4 (14.88 MB) MP4 02 - How often should you rebuild.mp4 (11.57 MB) MP4