Probability Multi-Armed Bandit Problem
I will give an overview of the multi-armed bandit problem. I would like to consider applying it to Texas Hold'em in the future.
Machine Learning
Probability 
Probability Texas Hold’em
This article is a simple explanation of the rules of the game Texas Hold'em. It may be used as a subject for explaining probability calculations and Monte Carlo simulations in the future.
Probability Regression Analysis Like Machine Learning
This article shows what happens when stochastic gradient descent, a method often used in machine learning, is applied to parameter estimation in regression analysis.
Probability How Machine Learning Works
Although it may seem a little late to be saying this, I feel like I've finally come to understand what makes machine learning different from other data analysis methods such as regression analysis and how it works, so I'll give a brief explanation here.