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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

Introduction to decision system and machine learning


A decision system that makes a decision based on several input parameters. A decision system is built on decision theories. Being human involves making decisions for almost all life cases.

The following are examples of decisions that humans make:

  • Shall I buy the car today? The decision depends on my preferences. This car looks fine, but it is too expensive for me.

  • Shall I bring an umbrella today? This decision depends on the current condition in the area where we are staying. If it is cloudy, it's better to bring an umbrella even though it may not rain.

Generally speaking, we teach a machine such as a computer in order to understand and achieve a specific goal. This case is called machine learning. Varieties of programs are implemented in machines so they can make decisions. Machine learning consists of using various algorithms to build a decision system. In this book, I use fuzzy logic and Bayesian algorithms to make a decision system. I...

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