Dynamic Meta-Learning for Anomaly Detection - Cole Sodja, Microsoft Defender ATP

Dynamic Meta-Learning for Anomaly Detection - Cole Sodja, Microsoft Defender ATP

Alan Turing Institute via YouTube Direct link

Introduction

1 of 15

1 of 15

Introduction

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Dynamic Meta-Learning for Anomaly Detection - Cole Sodja, Microsoft Defender ATP

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  1. 1 Introduction
  2. 2 Agenda
  3. 3 Motivation
  4. 4 Calibration
  5. 5 Pvalue calibration
  6. 6 Model uncertainty
  7. 7 What is calibration
  8. 8 MetaLearning
  9. 9 Bayesian Approach
  10. 10 Monitoring
  11. 11 Statespace Models
  12. 12 Filtering
  13. 13 Modeling
  14. 14 Probability distribution
  15. 15 Wrap up

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