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- Level: Beginner
- Duration: 01h 21m 53s
- Release date: 2022-02-16
- Author: Paweł Kordek
- Provider: Pluralsight
Getting Started with MLflow
Description
Content
Efficiently delivering machine learning products is not easy, therefore good tools that support ML model development are needed. This course will teach you MLflow.
- Course Overview01m
- Course Overview01m
- Understanding MLflow11m
- Course Basics04m
- Introducing MLflow07m
- Tracking ML Experiments16m
- Introduction03m
- Training the Model and Experimenting04m
- Demo: Running Experiments03m
- Demo: Parameters, Metrics, and MLflow UI06m
- Exporting Artifacts10m
- Introduction02m
- Artifacts in MLflow03m
- Demo05m
- Using MLflow in a Collaborative Scenario15m
- Introduction06m
- MLflow Server04m
- Architecture of a Complete MLflow Deployment05m
- Packaging and Running Models18m
- Introduction03m
- Logging a Model03m
- Customizing the Model02m
- Demo: Custom Models05m
- Running Predictions02m
- Demo: Batch and Real-time Predictions03m
- Sharing and Managing Models with Model Registry09m
- Overview04m
- Demo05m
- Summary03m
- Course Summary03m
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