Amazon cover image
Image from Amazon.com

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications / Brett Lantz.

By: Series: Community experience distilledPublisher: Birmingham, UK : Packt Publishing, 2013Copyright date: 2013Description: vii, 375 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781782162148 (pbk.)
  • 1782162143 (pbk.)
Subject(s): LOC classification:
  • QA276.45.R3 L36 2013
Contents:
Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regression methods -- Black box methods : neural networks and support vector machines -- Finding patterns : market basket analysis using association rules -- Finding groups of data : clustering with k-means -- Evaluating model performance -- Improving model performance -- Specialized machine learning topics.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Mesa Lab QA276.45 .R3 .L36 2013 1 Checked out 07/01/2024 50583020006130
Total holds: 0

"Production reference: 1211013"--Title page verso.

Includes index.

Introducing machine learning -- Managing and understanding data -- Lazy learning : classification using nearest neighbors -- Probabilistic learning : classification using naive Bayes -- Divide and conquer : classification using decision trees and rules -- Forecasting numeric data : regression methods -- Black box methods : neural networks and support vector machines -- Finding patterns : market basket analysis using association rules -- Finding groups of data : clustering with k-means -- Evaluating model performance -- Improving model performance -- Specialized machine learning topics.

Questions? Email library@ucar.edu.

Not finding what you are looking for? InterLibrary Loan.