1 Table of Contents: “...1 Introduction -- 1.1 What is Selectivity? -- 1.2 The aims and accomplishments of Selectivity...”

2 Table of Contents: “... and Geometrical Foundations -- 2 Robust Regression Methods and Model Selection -- 3 Robust Measures of Evidence...”

3 Table of Contents: “... lengths -- Appendix B: Linear regression or finding the best straight line -- Appendix C: Dielectric...”

4 Table of Contents: “...Regression Techniques -- R-squared and P-value -- Selecting a Regression Model -- Decision Trees...”

5 Table of Contents: “...10. Representing and Mining Text -- Fundamental concepts: The importance of constructing mining...”

6 Table of Contents: “... Stability -- 5.10 Other KernelClassification Algorithms -- 6 Regression Methods -- 6.1 Introduction -- 6.2...”

7 Table of Contents: “...Chapter 6: Linear Regression and Gradient Descent -- Understanding the regression task...”

8 Table of Contents: “... 4 Implementing Machine Learning on Mobile Apps -- Device-Based vs. Server-Based Approaches -- Apple...”

9 Table of Contents: “.... Confidence Intervals and Comparison Tests -- Chapter 9. Correlation & Regression Analysis -- Chapter 10...”

10 Table of Contents: “... -- Mapping Numeric Values -- Mapping Categorical Values -- Feature Selection -- Class Imbalance...”

11 Table of Contents: “... for Image Fingerprinting -- Neural Recognition and Genetic Features Selection for Robust Detection of E-Mail...”

12 Table of Contents: “... of Self-Organization -- 5.8 Automatic Selection of Feature Dimensions -- 6. Optimal Associative Mappings...”

13 Table of Contents: “... Spectrometry -- 8.4.Refractometry -- 8.5.Spectroscopy -- 8.5.1.Historical -- 8.5.2.Fundamentals -- 8.5.3.IR...”

14 Table of Contents: “... Data Sources -- 6.2.2 Selection of Studies -- 6.2.3 Data Extraction and Mapping Process -- 6.2.4...”

15 Table of Contents: “... to be included in upcoming projects -- 6.1 Selection of treatment technology during the inception of the projects...”