Agile is Dead • Pragmatic Dave Thomas

Building a Model

Steps in the Learning Process

The Sub-problems of Pattern Classification

1. Feature Extraction
2. Noise
3. Overfitting
4. Model Selection
5. Prior Knowledge
6. Missing Features
7. Mereology
8. Segmentation
9. Context
10. Invariances
11. Evidence Pooling
12. Costs and Risks
13. Computational Complexity

Queue Theory Applied

The Grand Picture of Statistics