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DSPA Chapter 16 (Variable Selection)

DSPA Chapter 16 (Variable Selection) As we mentioned in Chapter 15, variable selection is very important when dealing with bioinformatics, healthcare, and biomedical data where we may have more…

From  Tina Chang on July 17th, 2017 0 likes 23 plays 0  

DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection)

DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection) Classical techniques for choosing important covariates to include in a model of complex multivariate data relied on…

From  Tina Chang on July 17th, 2017 0 likes 17 plays 0  

DSPA Chapter 5 Dimensionality Reduction

DSPA Chapter 5 Dimensionality Reduction Dimensionality reduction techniques enable exploratory data analyses by reducing the complexity of the dataset, still approximately preserving important…

From  Tina Chang on July 17th, 2017 0 likes 66 plays 0