Hands-on machine learning with R / Brad Boehmke, Brandon Greenwell
By: Boehmke, Brad [author].
Contributor(s): Greenwell, Brandon M [author].
Series: Chapman & Hall/CRC the R series (CRC Press): Publisher: Boca Raton, FL : CRC Press, Taylor & Francis Group, ©2020Description: xxiv, 459 pages : illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781138495685; 1138495689; 9780367418298; 0367418290.Subject(s): Machine learning | R (Computer program language)Genre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | Q325.5 .B59 2020 (Browse shelf) | Available | AU00000000018717 |
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| Q325.5 .A46 2020 Introduction to machine learning / | Q325.5 .A47 2016 Machine learning : the new AI / | Q325.5 .A47 2021 Machine learning / | Q325.5 .B59 2020 Hands-on machine learning with R / | Q325.5 .B87 2019 The hundred-page machine learning book / | Q325.5 .B87 2020 Machine learning engineering / | Q325.5 .C45 2018 Machine learning and security : protecting systems with data and algorithms / |
Includes bibliographical references (pages 443-456) and index
Introduction to machine learning -- Modeling process -- Feature & target engineering -- Linear regression -- Logistic regression -- Regularized regression -- Multivariate adaptive regression splines -- K-nearest neighbors -- Decision trees -- Bagging -- Random forests -- Gradient boosting -- Deep learning -- Support vector machines -- Stacked models -- Interpretable machine learning -- Principal components analysis -- Generalized low rank models -- Autoencodersm -- K-means clustering -- Hierarchical clustering -- Model-based clustering
"This book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the R programming language to apply descriptive, predictive, and prescriptive analytic methodologies for problem solving"--