Machine learning Machine learning is the use of an input and output connected to each other by a number of different weights. Tic Tac Toe Example Figure 2: A Tic-tac-toe search tree using 0, -1 and 1. By exploring its environment and exploiting the most rewarding steps, it learns to choose the best action at each stage. This is of course heavily simplified explanation of what machine learning is. What I've done so far is a rgb/hex color recognition with the naive bayes algorithm, which was really simple to make. Reinforcement Learning is a step by step machine learning process where, after each step, the machine receives a reward that reflects how good or bad the step was in terms of achieving the target goal. I am new to machine learning and as one of my first projects I decided to make a tic tac toe bot. Now I am struggling a bit with making a tic tac toe bot.

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