Define contents / outline

[FRosner]

- Introduction
- Machine Learning Applications
 * General Architecture
 * Pre-Built vs. Custom Models / Inference Algorithms
- Modeling Probabilistic Data
 * Graphical Models
 * Probabilistic Relational Models
 * Transformation/Relationship between Plate Notation and PRMs
- Probabilistic Inference
- OLAP / Automatic Result Analysis
- Conclusion

[FRosner]

Will update the contents accordingly when I refine the problem.