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Tic-tac-toe is a paper-and-pencil game for two players, X and O, who take turns marking the spaces in a 3×3 grid. The player who succeeds in placing three of their marks in a horizontal, vertical, or diagonal row wins the game. In this blog, I apply an epsilon-greedy reinforcement learning algorithm to learn the optimal actions for playing the game!

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Machine Learning is the most transformative technology of our time. Whether it's helping us discover new drugs for major diseases, fighting fraud, generating music, improving supply chain efficiency, the list of applications is truly endless. In order for us as a community to be able to make valuable contributions to the world, we need to master this technology. This is a call to action, a battle cry, a spark that will light a movement to radically improve the state of humanity. 100 Days of ML Code is a commitment to better your understanding of this powerful tool by dedicating at least 1 hour of your time every day to studying and/or coding machine learning for 100 days.