Book Image

R Machine Learning By Example

By : Raghav Bali
Book Image

R Machine Learning By Example

By: Raghav Bali

Overview of this book

Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages, and an active developer community, R empowers users to build sophisticated machine learning systems to solve real-world data problems. This book takes you on a data-driven journey that starts with the very basics of R and machine learning and gradually builds upon the concepts to work on projects that tackle real-world problems. You’ll begin by getting an understanding of the core concepts and definitions required to appreciate machine learning algorithms and concepts. Building upon the basics, you will then work on three different projects to apply the concepts of machine learning, following current trends and cover major algorithms as well as popular R packages in detail. These projects have been neatly divided into six different chapters covering the worlds of e-commerce, finance, and social-media, which are at the very core of this data-driven revolution. Each of the projects will help you to understand, explore, visualize, and derive insights depending upon the domain and algorithms. Through this book, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple language, R.
Table of Contents (15 chapters)
R Machine Learning By Example
About the Authors
About the Reviewer

Social networks (Twitter)

We all use social networks day in and day out. There are numerous social networks catering to all sorts of ideologies and philosophies, but Facebook and Twitter (barring a couple more) have become synonymous with the term social network itself. These two social networks enjoy popularity not only because of their uniqueness and the quality of service but because of the way they enable us to interact in a very intuitive way. As we saw with recommendation engines used in e-commerce websites (see Chapter 4, Building a Product Recommendation System), social networks have existed long before Facebook, Twitter, or even the Internet.

Social networks have interested scientists and mathematicians alike. It is an interdisciplinary topic which spans but is not limited to sociology, psychology, biology, economics, communication studies, and information science. Various theories have been developed to analyze social networks and their impact on human lives in the form of factors...