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In the 1950s, a computer program taught itself to play checkers so well that it consistently beat its own creator. This wasn't science fiction. It was a real program developed by Arthur Samuel at IBM, and it was one of the first glimmers of what we now call machine learning. Samuel designed the program to learn from its mistakes. With every game it played, it got a little bit better, eventually surpassing the skill of the man who wrote its code. But the idea of a thinking machine started even ea
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