Bayesian Inference vs. Maximum Likelihood Estimation: What’s the Difference, and Why Should You Care?
If you’ve dipped your toes into the world of statistics or machine learning, chances are you’ve heard of Bayesian inference and Maximum Likelihood Estimation (MLE). These two concepts sit at the very heart of how we learn from data. They help us build models, estimate parameters, and ultimately make better decisions under uncertainty. But what exactly do these methods do? And how do they…













