A Review of Machine Learning Techniques for Anomaly Detection - Dr. David Green
Alan Turing Institute via YouTube
Overview
Syllabus
Introduction
Technology trends
What is machine learning
Traditional decomposition
Point anomalies
Contextual anomalies
Collective anomalies
Deep neural networks
Two styles of explanation
Training a neural network
Hierarchical classification
Background problem categories
Supervised learning
Project forward in time
Unsupervised learning
Traditional clustering
Time series type analysis
Spectral clustering
False positives
Challenges and risks
Large projects
Oneshot projects
IT infrastructure security
Smart cities
The Churring
Taught by
Alan Turing Institute