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

Understanding Sentiment Analysis

The fact that Internet-based companies and their CEOs feature as some of the most profitable entities in the global economy says a lot about how the world is being driven by technology and shaped by the Internet. Unlike any other medium, the Internet has become ubiquitous and has penetrated every aspect of our lives. It is no surprise that we are using and relying on the Internet and Internet-based solutions for advice and recommendations, apart from using it for many other purposes.

As we saw in the previous chapters, the relationship between the Internet and domains such as e-commerce and financial institutions goes way too deep. But our use of and trust in the online world doesn't stop there. Be it about booking a table at the new restaurant in your neighborhood or deciding which movie to see tonight, we take help from the Internet to know what opinions others have, or what others have to share, before we make the final call. As we will see later, such...