Code: 46503560
Ensemble methods that train multiple learners and then combine them to use, with textit{Boosting} and textit{Bagging} as representatives, are well-known machine learning approaches. An ensemble is significantly more accurate than ... more
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Book synopsis
Ensemble methods that train multiple learners and then combine them to use, with textit{Boosting} and textit{Bagging} as representatives, are well-known machine learning approaches. An ensemble is significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.
Book details
92.82 €
English
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