Matthew Yeager

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If it keeps making the same mistakes, the problem is bias, and you need a more flexible learner (or just a different one). If there’s no pattern to the mistakes, the problem is variance, and you want to either try a less flexible learner or get more data.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
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