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Bias: Difference between revisions
Created page with "==Introduction== Bias in mathematics and machine learning refers to the difference between an estimator's expected value and the true value of a parameter being estimated. In other words, bias introduces systematic error into an estimation process. Machine learning often refers to bias when discussing supervised learning algorithms. Supervised learning algorithms are trained on a dataset composed of input-output pairs with the purpose of discovering an mapping between i..."
(Created page with "==Introduction== Bias in mathematics and machine learning refers to the difference between an estimator's expected value and the true value of a parameter being estimated. In other words, bias introduces systematic error into an estimation process. Machine learning often refers to bias when discussing supervised learning algorithms. Supervised learning algorithms are trained on a dataset composed of input-output pairs with the purpose of discovering an mapping between i...") |
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