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Testing and Monitoring Machine Learning Model Deployments

Testing and Monitoring Machine Learning Model Deployments
Testing and Monitoring Machine Learning Model Deployments, ML testing strategies, shadow deployments, production model monitoring and more
  • HOT & NEW
  • Created by Christopher Samiullah, Soledad Galli
  • English
  • English [Auto-generated]


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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
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