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Just Enough R! : an Interactive Approach to Machine Learning and Analytics.

Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called "seeing then doing...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Roiger, Richard J.
Format: Electronic eBook
Language:Inglés
Published: [Place of publication not identified] : Chapman and Hall/CRC, 2020.
Edition:First edition.
Subjects:
Online Access:Texto completo
Table of Contents:
  • Preface. Acknowledgment. Author. Introduction to Machine Learning. Introduction to R. Data Structures and Manipulation. Preparing the Data. Supervised Statistical Techniques. Tree-Based Methods. Rule-Based Techniques. Neural Networks. Formal Evaluation Techniques. Support Vector Machines. Unsupervised Clustering Techniques. A Case Study in Predicting Treatment Outcome. Bibliography. Appendix A: Supplementary Materials and More Datasets. Appendix B: Statistics for Performance Evaluation. Subject Index. Index of R Functions. Script Index.