.NET Applied ML: Forecasting, Recommendations, and Anomaly Detection
Apply ML.NET to high-value business scenarios
Build production-minded forecasting, anomaly-detection, and recommendation solutions in C#. The course covers time-aware evaluation, cold-start behavior, implicit feedback, alert tuning, batch inference, model monitoring, and scheduled retraining.
What's included
- Forecasting and anomaly-detection sample data
- Recommendation-system starter solution
- Evaluation notebooks and worksheets
- Production monitoring and retraining checklist
