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Mastering Machine Learning with R, Second Edition

You're reading from   Mastering Machine Learning with R, Second Edition Advanced prediction, algorithms, and learning methods with R 3.x

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781787287471
Length 420 pages
Edition 2nd Edition
Languages
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Author (1):
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Cory Lesmeister Cory Lesmeister
Author Profile Icon Cory Lesmeister
Cory Lesmeister
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Table of Contents (17) Chapters Close

Preface 1. A Process for Success 2. Linear Regression - The Blocking and Tackling of Machine Learning FREE CHAPTER 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 and Deep Learning 8. Cluster Analysis 9. Principal Components Analysis 10. Market Basket Analysis, Recommendation Engines, and Sequential Analysis 11. Creating Ensembles and Multiclass Classification 12. Time Series and Causality 13. Text Mining 14. R on the Cloud 15. R Fundamentals 16. Sources

Creating an Amazon Web Services account

The first thing to do is to sign up for an AWS account:

https://aws.amazon.com/

This is the only prerequisite for this exercise. The process requires a credit card, but what we will be doing here will not cost a cent as it is done on a free instance. Going forward, you can quickly launch a new instance with greater computing power as needed, then stop or terminate the instance when finished. As you create your account and login, you can choose to create security groups or not. I will demonstrate it by creating a new security group during instance creation. A security group allows you to control who can and how they can access the instance. Also, don't worry about creating a Pair Key at this point unless you so desire. We will create that as well.

Once that is completed, log in to your AWS console, which should give you a webpage looking like this:

If you are...

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