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Using Machine Learning to play chess



Next Day Video

Aubhro Sengupta

http://pyohio.org/schedule/presentation/256/

Today, chess engines contain many lines of code handcrafted under the guidance of grandmasters. Are you interested in being knee deep in chess theory just to crank out a half decent engine? No? This talk is for you. Why not create an engine that learns to improve itself?

PyOhio is a free (thanks sponsors!) annual conference for Python programmers in and around Ohio and the entire Midwest.

http://pyohio.org/

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10 thoughts on “Using Machine Learning to play chess
  1. 4:37 The "assuming my opponent plays well" is my weapon to, sometimes, beat computers. I have done it and I don't play chess. 🙂 It's easier beating level 9 than level 1 because of that (me not knowing chess and the computer assuming I am a genius).

  2. Is it possible to predict the moves on the first move to win throughout the game, in short prediction of moves by choosing out the probabilities of opponents moves

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