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Next: Prediction Problems
Previous: The Learning Problem
- Learn general concepts or categories from examples
- Learn a task (drive a vehicle, win a game of backgammon)
- Examples of objects or tasks are gathered and stored in a database
- Each example is described by a set of attributes or
features
- Each example used for training is classified with its correct label
(chair, not chair, horse, not horse, 1 vs. 2 vs. 3, good move, bad move, etc.)
- The machine learning program learns general concept description from these
specific examples
- The ML program should be applied to classify or perform tasks
never before seen from learned concept
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