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What is the difference between taxonomy errors in regular order?

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A learning algorithm can be distinguished into an expected error function and variation. Measuring a dependent period, comparing the average classroom prepared by the learning algorithm to the target dependence. The calculation of the duration of the varying time learning method provides a compatibility rate for a variety of exercises.
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asked Jan 18, 2020 in Machine Learning by sharadyadav1986