Machine learning finds rules from examples. Supervised learning uses answers, and unsupervised learning finds groups. Classification predicts a label and regression predicts a number. Overfitting means memorizing, so test on new data and use precision and recall.
- Supervised learning
- Learning from examples that come with answers.
- Overfitting
- Memorizing training examples and failing on new data.
- Feature
- One piece of information about each example.