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Advanced Analytics with R and Tableau

You're reading from   Advanced Analytics with R and Tableau Advanced analytics using data classification, unsupervised learning and data visualization

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781786460110
Length 178 pages
Edition 1st Edition
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Authors (3):
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Roberto Rösler Roberto Rösler
Author Profile Icon Roberto Rösler
Roberto Rösler
Ruben Oliva Ramos Ruben Oliva Ramos
Author Profile Icon Ruben Oliva Ramos
Ruben Oliva Ramos
Jen Stirrup Jen Stirrup
Author Profile Icon Jen Stirrup
Jen Stirrup
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Table of Contents (10) Chapters Close

Preface 1. Advanced Analytics with R and Tableau FREE CHAPTER 2. The Power of R 3. A Methodology for Advanced Analytics Using Tableau and R 4. Prediction with R and Tableau Using Regression 5. Classifying Data with Tableau 6. Advanced Analytics Using Clustering 7. Advanced Analytics with Unsupervised Learning 8. Interpreting Your Results for Your Audience Index

References

The following is a list of recommended books where you can learn more about the topics in this chapter:

  • Introduction to Machine Learning, Ethem Alpaydin, The MIT Press, 2004.
  • A First Course in Bayesian Statistical Methods, Peter D. Hoff. Springer, New York, 2009.
  • Bayes' Rule: A Tutorial Introduction to Bayesian Analysis, James V Stone. Sebte Press. 2013.
  • Bayesian risk management: A guide to model risk and sequential learning in financial markets, Matt Sekerke. Wiley & Sons. 2015.
  • Fuzzy logic with engineering applications, 3rd Edition, Timothy J. Ross, John Wiley & Sons. 2010.
  • A First Course in Fuzzy Logic, 3rd Edition, Hung T. Nguyen and Elbert A. Walker, CRC Press. 2006.
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