Machine Learning Deep Dive #1: Bayesian Decision Theory
Welcome to the first article of the “Machine Learning Deep Dive” biweekly series. Each article will consist of a theoretical summary based on Ethem Alpaydın’s Machine Learning book. For each method, there will be a separate GitHub repository containing sample codes and examples prepared from the scratch and/or using the open-source Python libraries. Wish you pleasant reading!