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R Machine Learning Essentials

By : Michele Usuelli
Book Image

R Machine Learning Essentials

By: Michele Usuelli

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R Machine Learning Essentials
Michele Usuelli
Nov, 2014 | 218 pages
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Table of Contents (15 chapters)
R Machine Learning Essentials
R Machine Learning Essentials
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Transforming Data into Actions
Transforming Data into Actions
A data-driven approach in business decisions
Identifying hidden patterns
Estimating the impact of an action
Summary
2
R – A Powerful Tool for Developing Machine Learning Algorithms
R – A Powerful Tool for Developing Machine Learning Algorithms
Why R
The R tutorial
Some useful R packages
Summary
3
A Simple Machine Learning Analysis
A Simple Machine Learning Analysis
Exploring data interactively
Exploring the data using machine learning models
Predicting newer outcomes
Summary
4
Step 1 – Data Exploration and Feature Engineering
Step 1 – Data Exploration and Feature Engineering
Building a machine learning solution
Building the feature data
Exploring and visualizing the features
Modifying the features
Ranking the features using a filter or a dimensionality reduction
Summary
5
Step 2 – Applying Machine Learning Techniques
Step 2 – Applying Machine Learning Techniques
Identifying a homogeneous group of items
Applying the k-nearest neighbor algorithm
Optimizing the k-nearest neighbor algorithm
Summary
6
Step 3 – Validating the Results
Step 3 – Validating the Results
Validating a machine learning model
Tuning the parameters
Selecting the data features to include in the model
Tuning features and parameters together
Summary
7
Overview of Machine Learning Techniques
Overview of Machine Learning Techniques
Overview
Supervised learning
Linear regression
Perceptron
Unsupervised learning
Summary
8
Machine Learning Examples Applicable to Businesses
Machine Learning Examples Applicable to Businesses
Overview of the problem
Clustering the clients
Predicting the output
Summary
Index
Index

Chapter 2. R – A Powerful Tool for Developing Machine Learning Algorithms

Before using the machine learning techniques, we need to choose the proper software. There are many programming languages and types of software that provide the user with machine learning tools. In fact, the most important part is knowing which techniques to use and how to build new ones, and the software is just a tool. However, choosing the right software allows you to build faster and more accurate solutions.

In this chapter, you will learn:

  • The software requirements for building a machine learning solution

  • How R, combined with RStudio, facilitates the development of a machine learning solution

  • The structure of R

  • The tools of R

  • Some important R packages

Previous Section
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