Machine learning with R: discover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R

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 ; Mumbai Packt Publishing 2015
Edition:Second edition
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:XIII, 426 Seiten Illustrationen, Diagramme
ISBN:9781784393908

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