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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

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...

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