Machine learning with R : expert techniques for predictive modeling

A hands-on, readable guide to machine learning with R. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights and make new predictions. The 3rd edition features newer and better libraries, advice on ethical and bias issues, a...

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Bibliographic Details
Main Author Lantz, Brett (Author)
Format Electronic eBook
LanguageEnglish
Published Birmingham, UK : Packt, [2019]
EditionThird edition.
SeriesExpert insight.
Subjects
Machine learning.
R (Computer program language)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781523125241
1523125241
9781788291552
1788291557
1788295862
9781788295864
Physical Description1 online resource (xiii, 437 pages) : illustrations

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TOC from ObalkyKnih.cz
Table of 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
  • Evaluation model performance
  • Improving model performance
  • Specialized machine learning topics.

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