Mastering machine learning with R: advanced machine learning techniques for building smart applications with R 3.5

Table of Contents; Preparing and Understanding Data; Linear Regression; Logistic Regression; Advanced Feature Selection in Linear Models; K-Nearest Neighbors and Support Vector Machines; Tree-Based Classification; Neural Networks and Deep Learning; Creating Ensembles and Multiclass Methods; Cluster...

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Bibliographische Detailangaben
Beteilige Person: Lesmeister, Cory (VerfasserIn)
Format: Buch
Sprache:Englisch
Veröffentlicht: Birmingham ; Mumbai Packt 2019
Ausgabe:Third edition
Schlagwörter:
Zusammenfassung:Table of Contents; Preparing and Understanding Data; Linear Regression; Logistic Regression; Advanced Feature Selection in Linear Models; K-Nearest Neighbors and Support Vector Machines; Tree-Based Classification; Neural Networks and Deep Learning; Creating Ensembles and Multiclass Methods; Cluster Analysis; Principal Component Analysis; Association Analysis; Time Series and Causality; Text Mining; Appendix A- Creating a Package
Umfang:iv, 343 Seiten Diagramme, Illustrationen
ISBN:9781789618006