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R Machine Learning By Example

You're reading from   R Machine Learning By Example Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781784390846
Length 340 pages
Edition 1st Edition
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Author (1):
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Raghav Bali Raghav Bali
Author Profile Icon Raghav Bali
Raghav Bali
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Toc

Table of Contents (10) Chapters Close

Preface 1. Getting Started with R and Machine Learning FREE CHAPTER 2. Let's Help Machines Learn 3. Predicting Customer Shopping Trends with Market Basket Analysis 4. Building a Product Recommendation System 5. Credit Risk Detection and Prediction – Descriptive Analytics 6. Credit Risk Detection and Prediction – Predictive Analytics 7. Social Media Analysis – Analyzing Twitter Data 8. Sentiment Analysis of Twitter Data Index

Summary

In this chapter, we talked briefly about the journey we will take into the world of machine learning and R. We discussed the basics of R and built a strong foundation of the core constructs and data structures used in R. Then we dived into the world of machine learning by looking at some concepts and algorithms, and how it is used in the world to solve problems. Finally, we ended with a quick glance at some of the most popular machine learning packages in R to get us all familiarized with some handy tools for our machine learning toolbox!

In the next chapter, we will be looking in depth about machine learning concepts and algorithms which will help us make the machines learn something!

You have been reading a chapter from
R Machine Learning By Example
Published in: Mar 2016
Publisher:
ISBN-13: 9781784390846
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