Part I: From Data to Methods1. Patterns, Objects, and Features2. Supervised Learning3. Unsupervised Learning
Part II: Example Applications4. Applications with Supervised Learning5.. Applications with Unsupervised Learning
Part III: A Posteriori Analysis6. What is a Failure? A-posteriori Analyses - Advantages and Pitfalls of Pattern Recognition Techniques7. Software Manuals