Discriminative model

A discriminative model is a type of statistical model that is used for classification or regression. It learns the boundary between different classes of data, and then uses this boundary to classify new data points. This is in contrast to a generative model, which learns the distribution of the data and then uses this distribution to generate new data points.

Discriminative models are a key component of any successful AI strategy, as they can help to solve a wide range of problems.