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

Modeling using neural networks

Neural networks, or to be more specific in this case, artificial neural networks, is a family of machine learning models whose concepts are based on the working of biological neural networks, just like our nervous system. Neural networks have been there for a long time, but recently there has been an upsurge of interest in building highly intelligent systems using deep learning and artificial intelligence. Deep learning makes use of deep neural networks, which are essentially neural networks with a huge number of hidden layers between the input and output layers. A typical neural network can be visualized with the following figure:

From the figure, you can deduce that this neural network is an interconnected network of various nodes, also called neurons. Each node represents a neuron which is nothing but a mathematical function. It is impossible to go into every detail of how to represent a node mathematically but we will give the gist here. These mathematical...