July 2019
Beginner to intermediate
298 pages
7h 20m
English
Content preview from Hands-On Ensemble Learning with Python
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Bias, variance, and the trade-off
Machine learning models are not perfect; they are prone to a number of errors. The two most common sources of errors are bias and variance. Although two distinct problems, they are interconnected and relate to a model's available degree of freedom or complexity.
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