[MMD]··13min
ML Probability & Statistics Chapter 3: Sampling, MLE, and MAP
A concise guide to the core ideas behind ML estimation: populations vs. samples, the Law of Large Numbers, the Central Limit Theorem, Maximum Likelihood Estimation (MLE), Maximum A Posteriori (MAP), and regularization.
#Probability#Statistics#Machine Learning#MLE#Bayes