Machine Learning Fundamentals
Empirical Risk Minimization
The principle of choosing a model that minimizes error on training data, fundamental to supervised learning.
This concept is essential for understanding machine learning fundamentals and forms a key part of modern AI systems.
Related Concepts
- Loss Function
- Training
- Optimization
Tags
machine-learning-fundamentals loss-function training optimization