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