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Classroom Contents
Practical Cyborgism - Machine Learning for Bro Logs
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- 1 Intro
- 2 A story we all know: Regular expressions
- 3 When's the last time you heard...?
- 4 Problem Statement: HTTP Proxy Logs
- 5 Machine Assisted Analysis
- 6 Two different types of machine learning
- 7 Supervised: Binary Classification
- 8 Classification With Random Forests
- 9 Generating synthetic abnormal data
- 10 Decision Trees
- 11 Unsupervised: Outlier Detection
- 12 Isolation Forests Liu, Ting, Zhao
- 13 A quick note about parameters
- 14 Classification With Isolation Forests
- 15 The beauty of scikit leam & python
- 16 Identifying Training & Test Data
- 17 Training, Testing & Evaluating a Model
- 18 Bonus: Most influential Features with
- 19 Analyzing Log Files
- 20 Bonus: Classifier Explanations with
- 21 Ideas for improvement
