Just enough R! : an interactive approach to machine learning and analytics /: an interactive approach to machine learning and analytics. (2020)
- Record Type:
- Book
- Title:
- Just enough R! : an interactive approach to machine learning and analytics /: an interactive approach to machine learning and analytics. (2020)
- Main Title:
- Just enough R! : an interactive approach to machine learning and analytics
- Further Information:
- Note: Richard J. Roiger.
- Authors:
- Roiger, Richard J
- 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.
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2020
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 519.502855133
R (Computer program language)
Machine learning
Data structures (Computer science)
Mathematical statistics -- Data processing - Languages:
- English
- ISBNs:
- 9781000073560
9781000073508
9781000073539
9781003006695 - Related ISBNs:
- 9780367443207
9780367439149 - Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.509488
- Ingest File:
- 03_086.xml