MLOps: A Complete Introduction To Monitoring In 26 Mins
Автор: MLOps Omari
Загружено: 2026-01-11
Просмотров: 13
In this video we cover why we need to monitor ML system and how we can use Evidently to detect drift to prevent model decay.
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/ mlopsomari
Link to full code:
https://github.com/mlopsomari/evidently
00:00 Intro
00:28 What is machine learning?
03:10 Model decay
04:00 Data drift
04:48 Concept drift
05:55 Why do we need to monitor ML systems?
06:20 Monitoring with Evidently
09:00 Evidently Datasets theory
09:40 Creating Evidently Datasets
11:50 Evidently Evaluations theory
12:50 Creating Evaluations with column-level metrics
15:30 Creating Evaluations with dataset-level metrics
17:00 Creating Evaluations with tests
22:42 Monitoring ML systems with Presets
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