The Nature Of Statistical Learning Theory File

A source of data that produces random vectors, usually assumed to be independent and identically distributed (i.i.d.).

The "nature" of this field is essentially the study of the gap between these two. If a model is too simple, it fails to capture the data's structure (underfitting). If it is too complex, it "memorizes" the noise in the training set (overfitting), leading to low empirical risk but high expected risk. Capacity and the VC Dimension The Nature of Statistical Learning Theory

A set of functions (the hypothesis space) from which the machine selects the best candidate to approximate the supervisor. A source of data that produces random vectors,