Webinar "Monitoring ML Models in Production" (RU)
The performance of machine learning models can decline over time - due to changes in data, business processes, or simply data loss or failures. To avoid the negative impact on business performance, it is crucial to detect such situations and take timely action - for example, by retraining the model. Due to this, monitoring of services based on machine learning needs to include additional metrics related to the model and data quality. In the course of the tutorial, Emeli Dral will demonstrate how
Emeli Dral demonstrates how to monitor machine learning models in production, tracking model and data quality metrics to detect decline from data or process changes and act in time, for example by retraining the model. In Russian.
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