Maximum Likelihood
Domain: Math & Logic for AI
🎯 Motivation
Choose parameters that make the observed data most probable. The principle behind many ML training procedures.
📋 Concrete Example
If data looks bell-shaped, pick the mean and variance that make that bell curve fit best.
🔗 Analogy
Like a detective picking the story that best explains all the evidence - the most likely scenario.