Glossary

The Norvig Model is a data-centric approach to machine learning developed by AI expert Peter Norvig, focusing on the crucial role of statistical analysis in ML models.

NP (Complexity) denotes a class in computational theory where solutions to problems can be verified within polynomial time using a deterministic Turing machine. It includes problems solvable within polynomial time, though whether all NP problems are solvable this way is still unknown.

Np-completeness is a theory in computational complexity that classifies problems which have solutions verifiable in polynomial time but are presumed nearly impossible to crack.