[7. Statistical Estimation] 7.5 Maximum a Posteriori Estimation

SORRY this video was way over 5 min 😢. It's a tough topic! This series [Probability] closely follows Stanford University's CS 109 (Probability for Computer Scientists), and University of Washington's CSE 312 (Foundations of Computing II) lecture schedule. The expected prerequisites are college calculus (including some multivariable calculus such as gradients and multiple integrals), and some introduction to proofs and discrete math. This 5-minute video covers the following topics: 1. Maximum a Posteriori (MAP) Estimation 2. MAP Example (Bernoulli/Beta)