Examine new techniques for predictive and descriptive learning using concepts that bridge gaps among statistics, computer science, and artificial intelligence. This course emphasizes the statistical application of these areas and integration with standard statistical methodology. The differentiation of predictive and descriptive learning will be examined from varying statistical perspectives.
- Jerome Friedman Professor Emeritus, Statistics
- Classification & regression models
- Multivariate adaptive regression splines
- Prototype & near-neighbor methods
- Neural networks
2.0 - 3.0