Testing and Monitoring Machine Learning Model Deployments

Testing and Monitoring Machine Learning Model Deployments, ML testing strategies, shadow deployments, production model monitoring and more

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What you'll learn

Machine Learning System Unit Testing

Machine Learning System Integration Testing
Machine Learning System Differential Testing
Shadow Deployments (also known as Dark/Decoy launches)
Statistical Techniques for Assessing Shadow Deployments
Monitoring ML System with Metrics (Prometheus & Grafana)
Monitoring ML Systems with Logs (Kibana & the Elastic Stack)
The Theory Around Continuous Delivery for Machine Learning