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Anomaly Detection in the Cloud - How to Detect Issues in Data and Images Without Any ML Experience

Anomaly Detection in the Cloud - How to Detect Issues in Data and Images Without Any ML Experience

Devoxx via YouTube Direct link

Creating a detector

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Creating a detector

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Classroom Contents

Anomaly Detection in the Cloud - How to Detect Issues in Data and Images Without Any ML Experience

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  1. 1 Introduction
  2. 2 What is anomaly detection
  3. 3 What is anomaly detection in practice
  4. 4 What kind of anomalies do we meet
  5. 5 What are APIs
  6. 6 What are services
  7. 7 Vision
  8. 8 Data set
  9. 9 What is anomaly
  10. 10 Examples
  11. 11 The data set
  12. 12 Creating a detector
  13. 13 Mapping
  14. 14 Pretrained model
  15. 15 Outro

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