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Model
Fundamentals
Parameterized function mapping inputs to outputs.
A model is a parameterized function f(x; θ) whose parameters θ are learned from data.
- Types: Linear models, decision trees, neural networks, probabilistic models.
- Training: Minimizing a loss function via optimization.
- Evaluation: Appropriate metrics, robustness and fairness checks.
- Lifecycle: Versioning, monitoring, retraining after drift.