Review Note
Last Update: 10/08/2023 02:57 PM
Current Deck: EEN100: Theory and exercises
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Commit #21167
Supervised learning sets (\(\mathcal X, \mathcal Y, \mathcal S, \mathcal H, ...\))
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Commit #21167- Domain set/instance space \(\mathcal X\) that our data lives in
- Label set \(\mathcal Y\) of possible labels that can be assigned
- Training set \(\mathcal S = \{(x_1,y_1),\dotsc,(x_m,y_m)\}\) of pairs in \(\mathcal X \times \mathcal Y\) forming labelled instances \(z_k = (x_k, y_k)\)
- Hypothesis class \(\mathcal H\) of prediction rules \(h: \mathcal X \to \mathcal Y\).