GLOSSARY TERM
What is Maximum Likelihood Estimation?
A method of estimating parameters of a statistical model to maximize data probability.
MLE aims to find the optimal parameter configuration that makes the observed training data most probable. It serves as the mathematical foundation for standard cross-entropy training in neural networks.
Statistical Foundations
Leverage mathematically rigorous modeling pipelines within the MLOps suite.