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8 lines
494 B
Markdown
8 lines
494 B
Markdown
# Intro
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* Predictive or Supervised: learn a mappping from inputs x to outputs u, given a labeled set of input-output paris (the training set).
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- The training input x_i is called features, attributes, covariates.
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- If y_i assumes a value from a finite set, it's called categorical or nominal, and the problem is classification or pattern recognition. If y_i us real-valued scalar, it is regression.
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* Descriptive or unsupervised learning: find patterns in the data (knowledge discovery). c
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