Classification

Identifying to which category an object belongs to.

Regression

Predicting a continuous-valued attribute associated with an object.

Clustering

Automatic grouping of similar objects into sets.

Dimensionality reduction

Reducing the number of random variables to consider.

Model selection

Comparing, validating and choosing parameters and models.

Preprocessing

Feature extraction and normalization.

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