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Machine learning apply in chess for making optimal decisions, using Neural networks and Supervised learning algorithms

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Machine Learning with Python

A Dream Team

You are in your last moves in a chess game . You have your King and your rook and the enemy team has only the King. The data of the txt files provides the position of your King,Rook and enemy King . Also there is another variable that demonstrates the outcome in depth of ten moves. For example King at a,1 Rook at b,3 enemy King at c,2 the outcome is draw. This means that if you make ten moves you are not able to win. Furthermore d,3,a,5,f,1,eight eigth means that if you make optimal choices you maybe win in eight moves, this is the minimum number of moves in order to win.

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Machine learning apply in chess for making optimal decisions, using Neural networks and Supervised learning algorithms

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