Preface Acknowledgements Part I. Introduction: 1. Prologue 2. The landscape of learning machines 3. A mangle of machines 4. Three examples and several machines Part II. A Machine Toolkit: 5. Logistic regression 6. A single decision tree 7. Random forests - trees everywhere Part III. Analysis Fundamentals: 8. Merely two variables 9. More than two variables 10. Resampling methods 11. Error analysis and model validation Part IV. Machine Strategies: 12. Ensemble methods - let's take a vote 13. Summary and conclusions References Index.
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