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Mastering Machine Learning with R

You're reading from Mastering Machine Learning with R Master machine learning techniques with R to deliver insights for complex projects

Product type Paperback

Published in Oct 2015

Publisher

ISBN-13 9781783984527

Length 400 pages

Edition 1st Edition

Languages

R

Tools

RStudio

Concepts

Machine Learning

Author (1):

Cory Lesmeister

View More author details

Table of Contents (15) Chapters

Preface

1. A Process for Success FREE CHAPTER

2. Linear Regression – The Blocking and Tackling of Machine Learning

3. Logistic Regression and Discriminant Analysis

4. Advanced Feature Selection in Linear Models

5. More Classification Techniques – K-Nearest Neighbors and Support Vector Machines

6. Classification and Regression Trees

7. Neural Networks

8. Cluster Analysis

9. Principal Components Analysis

10. Market Basket Analysis and Recommendation Engines

11. Time Series and Causality

12. Text Mining

A. R Fundamentals

Index

Getting R up and running

We want to accomplish two things here: first, install the latest version of R and second, install RStudio, which is an Integrated Development Environment (IDE) for R.

Let's start by going to R's homepage at https://www.r-project.org/. This page will look similar to the following screenshot:

Getting R up and running

You can see that there is a link, download R, and in the News section, the latest R version is 3.2.2 (Fire Safety), which was released on 2015-08-14. Now, click one of the links, either CRAN under Download or download R under Getting Started, and you will come to the following screen, which has CRAN Mirrors:

Getting R up and running

These are the links by country and sorted alphabetically that will take you to the download page. Being in Indiana, USA, I will scroll down and find that Indiana University has a link:

Getting R up and running

Once you find a similar link that is close to your location, click on it and you will see this as part of the page that will be loaded:

Getting R up and running

Now, click on your appropriate operating system...

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Authors (1)

Lesmeister

Lesmeister

Cory Lesmeister has over fourteen years of quantitative experience and is currently a senior data scientist for the advanced analytics team at Cummins, Inc. in Columbus, Indiana. He has spent 16 years at Eli Lilly and Company in sales, market research, Lean Six Sigma, marketing analytics, and new product forecasting. He also has several years of experience in the insurance and banking industries, both as a consultant and as a manager of marketing analytics. A former US Army active duty and reserve officer, Cory was stationed in Baghdad, Iraq, in 2009. Here, he served as the strategic advisor to the 29,000-person Iraqi Oil Police, succeeding where others failed by acquiring and delivering promised equipment to help the country secure and protect its oil infrastructure. He has a BBA in aviation administration from the University of North Dakota and a commercial helicopter license.

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