Machine learning for knowledge discovery with R : methodologies for modeling, inference and prediction /: methodologies for modeling, inference and prediction. (2021)

Record Type:
Book
Title:
Machine learning for knowledge discovery with R : methodologies for modeling, inference and prediction /: methodologies for modeling, inference and prediction. (2021)
Main Title:
Machine learning for knowledge discovery with R : methodologies for modeling, inference and prediction
Further Information:
Note: Kao-Tai Tsai.
Authors:
Tsai, Kao-Tai
Contents:
1. Statistical Data Analysis. 2. Examining Data Distribution. 3. Regression with Shrinkage. 4. Recursive Partitioning Modeling. 5. Support Vector Machines. 6. Cluster Analysis. 7. Neural Networks. 8. Causal Inference and Matching. 9. Business and Commercial Data Modeling. 10. Analysis of Response Profiles.
Edition:
1st
Publisher Details:
Boca Raton : Chapman & Hall/CRC
Publication Date:
2021
Extent:
1 online resource, illustrations (black and white)
Subjects:
006.312
Data mining -- Methodology
Machine learning
R (Computer program language)
Languages:
English
ISBNs:
9781000450354
9781000450279
9781003205685
Related ISBNs:
9781032065366
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.628615
Ingest File:
05_040.xml