Learn MLOps for Machine Learning
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4:09:59
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001. Learn MLOps for Machine Learning Introduction.mp4
02:04
001. Learning objectives.mp4
00:45
002. 1.1 Gather the data.mp4
07:47
003. 1.2 Analyze the data.mp4
07:57
004. 1.3 Prepare the data.mp4
07:34
005. 1.4 Train a model.mp4
08:08
006. 1.5 Evaluate the model.mp4
08:21
007. 1.6 Validate the model.mp4
06:50
008. 1.7 Deploy the model.mp4
07:45
009. 1.8 Monitor the model.mp4
07:24
001. Learning objectives.mp4
00:43
002. 2.1 Determine what the data sources are.mp4
05:13
003. 2.2 Create ETL pipelines to compile the data.mp4
10:00
004. 2.3 Understand the data schema with respect to the model.mp4
05:18
005. 2.4 Identify data that can be used for the model.mp4
04:48
006. 2.5 Perform feature engineering.mp4
10:22
007. 2.6 Version the data with DVC.mp4
14:45
008. 2.7 Make multiple data sets.mp4
04:11
009. 2.8 MLOps best practices for data.mp4
05:39
001. Learning objectives.mp4
00:34
002. 3.1 Use common Python libraries.mp4
09:55
003. 3.2 Code versioning with Git.mp4
09:58
004. 3.3 Perform hyperparameter tuning.mp4
10:31
005. 3.4 Track experiments with MLFlow.mp4
10:19
006. 3.5 Track experiments with DVC.mp4
10:16
007. 3.6 Evaluate the models.mp4
10:01
001. Learning objectives.mp4
00:36
002. 4.1 Decide the best deployment method.mp4
10:31
003. 4.2 Test on pre-production environments.mp4
10:15
004. 4.3 Deploy to production.mp4
05:27
005. 4.4 Monitor the model for drift.mp4
09:54
006. 4.5 Validate the pipeline flow.mp4
11:07
007. 4.6 Automation points in MLOps.mp4
09:28
008. 4.7 Set up redeploy pipeline.mp4
03:53
001. Learn MLOps for Machine Learning Summary.mp4
01:40
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O'Reilly
View courses O'ReillyO'Reilly Media is an American learning company established by Tim O'Reilly that publishes books, produces tech conferences, and provides an online learning platform. Its distinctive brand features a woodcut of an animal on many of its book covers.
- language english
- Training sessions 35
- duration 4:09:59
- Release Date 2023/12/06
