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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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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

Chapter 2. Let's Help Machines Learn

Machine learning, when you first hear it, sounds more like a fancy word from a sci-fi movie than the latest trend in the tech industry. Talk about it to people in general and their responses are either related to being generally curious about the concept or being cautious and fearful about intelligent machines taking over our world in some sort of Terminator-Skynet way.

We live in a digital age and are constantly presented with all sorts of information all the time. As we will see in this and the coming chapters, machine learning is something that loves data. In fact, the recent hype and interest in this field has been fueled by not just the improvements in computing technology but also due to exponential growth in the amount of data being generated every second. The latest numbers stand at around 2.5 quintillion bytes of data every day (that's 2.5 followed by 18 zeroes)!

Note

Fun Fact: More than 300 hours of video data is uploaded to...

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