Machine learning with R: Learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications

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 : regress...

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Bibliographic Details
Main Author: Lantz, Brett (Author)
Format: Book
Language:English
Published: Birmingham, UK [u.a.] Packt Publ. 2013
Edition:1. publ.
Series:Community experience distilled
Packt open source
Subjects:
Summary: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.
Physical Description:VII, 375 S. graph. Darst.
ISBN:9781782162148
1782162143

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