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R Machine Learning By Example

You're reading from  R Machine Learning By Example

Product type Book
Published in Mar 2016
Publisher
ISBN-13 9781784390846
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Raghav Bali Raghav Bali

Table of Contents (15) Chapters

R Machine Learning By Example
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Getting Started with R and Machine Learning Let's Help Machines Learn Predicting Customer Shopping Trends with Market Basket Analysis Building a Product Recommendation System Credit Risk Detection and Prediction – Descriptive Analytics Credit Risk Detection and Prediction – Predictive Analytics Social Media Analysis – Analyzing Twitter Data Sentiment Analysis of Twitter Data Index

Families of algorithms


There are tons of algorithms in the machine learning universe and more are devised each year. There is tremendous research happening in this space and hence the ever increasing list of algorithms. It is also a fact that the more these algorithms are being used, the more improvements in them are being discovered. Machine learning is one space where industry and academia are running hand in hand.

But, as Spider-Man was told that with great power comes great responsibility, the reader should also understand the responsibility at hand. With so many algorithms available, it is necessary to understand what they are and where they fit. It can feel overwhelming and confusing at first but that is when categorizing them into families helps.

Machine learning algorithms can be categorized in many ways. The most common way is to group them into supervised learning algorithms and unsupervised learning algorithms.

Supervised learning algorithms

Supervised learning refers to algorithms...

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