Statistical Foundations of Data Science institutional oppression In the first book-length work

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Statistical Foundations of Data Science institutional oppression In the first book-length workProvides theoretical insights and justification of the statistical procedures for the analysis of high dimensional dataPresents a general framework of regularization methodsCovers feature screening for ultrahigh dimensional dataDescribes large scale covariance estimation