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The need for interpretability
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Classroom Contents
Why Security Data Science Matters and How It's Different
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- 1 Intro
- 2 Presentation Overview
- 3 Some definitions: training data, test data, prediction, generalization
- 4 Why clustering matters
- 5 Classification
- 6 Why regression matters
- 7 Visualization design principles
- 8 The presence of an adversary
- 9 The false positive problem
- 10 A machine learning based detection fail due to false positives
- 11 The need for interpretability
- 12 Another potential mitigation
