Definition
The study of finding the best solution among all feasible solutions, central to training AI models effectively.
Detailed Explanation
Optimization theory deals with methods for finding optimal solutions to mathematical problems. It includes linear and nonlinear optimization, convex optimization, and constrained optimization. In AI, it's crucial for training models, finding optimal parameters, and improving model performance.
Use Cases
Model training, hyperparameter tuning, resource allocation, efficiency improvements
