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https://github.com/zabir-nabil/vertexai-notebook-demos

Notebook demos + tutorials for Vertex AI (training, deployment, explainability, monitoring, etc.)
https://github.com/zabir-nabil/vertexai-notebook-demos

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Notebook demos + tutorials for Vertex AI (training, deployment, explainability, monitoring, etc.)

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# VertexAI-notebook-demos
Notebook demos + tutorials for Vertex AI (training, deployment, explainability, monitoring, etc.)

| **Feature / Component** | **Vertex AI** |
|-------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Data ingestion | 👌 Monitoring jobs or SDK |
| Performance monitoring | For online model performance, Vertex AI is pretty limited \(as per docs\)\. They offer only a ‘Prediction error percentage’ which is not well documented as of now\. |
| Feature drift | 👌 Vertex AI has reasonably good support for feature drift\. Alerts can be configured and sent periodically\. |
| Training\-serving skew | 🏆 Vertex AI becomes really useful when we have a continuous process from model training to deployment\. We can detect skewness in training and production data distribution\. |
| Monitors & Alerts | 👌 Vertex AI provides basic monitoring and alerting for drift, and skew\. It’s available for the feature store too\.