Supervised Machine Learning Optimization Framework and Applications with SAS and R.

AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. The AI framework comprises of bootstrapping to create multiple training and testing data sets with various characteristics, design and analysis of statistical experiments to...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Kolosova, Tanya
Other Authors: Berestizhevsky, Samuel
Format: Electronic eBook
Language:Inglés
Published: Milton : CRC Press LLC, 2020.
Subjects:
Program transformation (Computer programming)
R (Computer program language)
SAS (Computer program language)
Supervised learning (Machine learning)
Transformation de programme (Informatique)
R (Langage de programmation)
SAS (Langage de programmation)
Apprentissage supervisé (Intelligence artificielle)
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