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Plan Szkolenia
Introduction
Setting up TensorFlow Extended (TFX)
Overview of TFX Features and Architecture
Understanding Pipelines and Components
Working with TFX Components
Ingesting Data
Validating Data
Tranforming a Data Set
Analyzing a Model
Feature Engineering
Training a Model
Orchestrating a TFX Pipeline
Managing Meta Data for ML Pipelines
Model Versioning with TensorFlow Serving
Deploying a Model to Production
Troubleshooting
Summary and Conclusion
Wymagania
- An understanding of DevOps concepts
- Machine learning development experience
- Python programming experience
Audience
- Data scientists
- ML engineers
- Operation engineers
21 godzin
Opinie uczestników (1)
Tomasz really know the information well and the course was well paced.