A Review of Machine Learning Techniques for Anomaly Detection - Dr. David Green

A Review of Machine Learning Techniques for Anomaly Detection - Dr. David Green

Alan Turing Institute via YouTube Direct link

Time series type analysis

17 of 25

17 of 25

Time series type analysis

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A Review of Machine Learning Techniques for Anomaly Detection - Dr. David Green

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  1. 1 Introduction
  2. 2 Technology trends
  3. 3 What is machine learning
  4. 4 Traditional decomposition
  5. 5 Point anomalies
  6. 6 Contextual anomalies
  7. 7 Collective anomalies
  8. 8 Deep neural networks
  9. 9 Two styles of explanation
  10. 10 Training a neural network
  11. 11 Hierarchical classification
  12. 12 Background problem categories
  13. 13 Supervised learning
  14. 14 Project forward in time
  15. 15 Unsupervised learning
  16. 16 Traditional clustering
  17. 17 Time series type analysis
  18. 18 Spectral clustering
  19. 19 False positives
  20. 20 Challenges and risks
  21. 21 Large projects
  22. 22 Oneshot projects
  23. 23 IT infrastructure security
  24. 24 Smart cities
  25. 25 The Churring

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