Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)
Feature Engineering and Selection offers a dedicated examination of how data scientists create informative features and select useful predictors. Written by Max Kuhn and Kjell Johnson, this volume provides a focused reference for understanding these essential parts of data preparation and analytical modeling.
About This Book
Feature Engineering and Selection presents a focused treatment of two important tasks in data science: creating useful features and choosing among available predictors.
Written by Max Kuhn and Kjell Johnson, the book addresses how data representation and variable selection support analytical modeling.
It is part of the Chapman & Hall/CRC Data Science Series and is suited to readers seeking a dedicated reference on feature-focused data preparation.
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