Supervised learning
Learning a map from inputs to labels with labelled examples.
- Learning problem setup
- Linear regression
- Logistic regression and GLMs
- Nearest neighbours
- Decision trees
- Naive Bayes and generative classifiers
- Support vector machines
- Kernel methods
- Ensembles and bagging
- Boosting
- Gradient boosted trees
- Model selection and validation
- Classical regularization
- Feature engineering
- Imbalanced and cost-sensitive
- Structured prediction
- Classical learning to rank
- Tabular learning
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