Introduction to Logistic Regression

Introduction Logistic regression is a statistical methodology that allows modeling the relationships between a binary categorical variable and a set of explanatory variables. Specifically, it models the probability that an observation belongs to one of the categories of that binary…

Linear Programming and Simplex Method

Introduction We are all familiar with the concept of Linear Programming or Linear Optimization, that branch of mathematics that is dedicated to optimizing (maximizing or minimizing) a linear objective function subject to constraints in the form of equations and/or inequalities.…

Deep Reinforcement Learning: DQN

Introduction In our previous post about Reinforcement Learning, we made an introduction to this area through one of its most popular techniques: Q-learning. We laid the groundwork by talking about Markov decision processes, policies and value functions, and we saw…