Machine learning
Models for a decision you already make badly or slowly: forecast, classify, detect, rank. With monitoring, because a model left alone decays.
For Operations and product teams with history and a measurable decision.
Outcomes
- A model tied to a decision and a baseline
- A path to production, not a notebook
- Monitoring for drift and failure
What is included
- Problem framing and data check
- Feature and model development
- Deployment and monitoring
- Human review where the decision needs it
Platforms: Python, Databricks, SageMaker, Vertex AI
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