Simplicity is SOTA • 0 implied HN points • 19 Jun 23
- Inductive bias in machine learning refers to how models make choices in their learning process.
- Restriction bias limits the types of hypotheses considered in a model, while preference bias favors certain hypotheses over others.
- Expressiveness of a model determines the types of relationships it can capture, and can be enhanced by adding relevant features or interactions.