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This article gives me a great overview: http://scott.fortmann-roe.com/docs/BiasVariance.html
Bias is an error due to erroneous or overly simplistic assumptions in the learning algorithm you’re using.
Variance is an error due to too much complexity in the learning algorithm you’re using.
More reading: Bias-Variance Tradeoff (Wikipedia)
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