Two-part sequence on new techniques for

1. Two-part sequence on new techniques for predictive and descriptive learning using ideas that bridge gasp among statistics, computer science, and artificial intelligence.
2. Emphasis is on statistical aspects of their application and integration with more standard statistical methodology.

1. Predictive learning refers to estimating models from data with the goal of predicting future outcomes, in particular, regression and classification models.
2. Descriptive learning is used to discover general patterns and relationships in data without a specific predictive goal.
3. From a statistical perspective, it can be viewed as computer automated exploratory analysis of usually large complex data sets..