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R Data Analysis Projects

You're reading from R Data Analysis Projects Build end to end analytics systems to get deeper insights from your data

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781788621878

Length 366 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Data Analysis

Author (1):

Gopi Subramanian

View More author details

Table of Contents (9) Chapters

Preface

1. Association Rule Mining FREE CHAPTER

2. Fuzzy Logic Induced Content-Based Recommendation

3. Collaborative Filtering

4. Taming Time Series Data Using Deep Neural Networks

5. Twitter Text Sentiment Classification Using Kernel Density Estimates

6. Record Linkage - Stochastic and Machine Learning Approaches

7. Streaming Data Clustering Analysis in R

8. Analyze and Understand Networks Using R

Taming Time Series Data Using Deep Neural Networks

With the advent of the Internet of Things, more and more devices are being added to the World Wide Web every day. Today's world is rapidly becoming inundated with intelligence devices. These devices are producing data at a rapid pace which we have never seen before. The storage cost has significantly come down, allowing companies to store this massive data in a cheap manner. Smart City projects have been kick-started by various governments. These Smart City projects rely heavily on this instrumentation. Technology companies and governments now want to leverage this massive data, generated from these smart devices, to perform analytics and produce data-enabled applications. The end use cases of these analytics are limitless. The data is characterized by three factors:

Volume: The amount of data generated
Variety: The...

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Authors (1)

Gopi Subramanian

Gopi Subramanian

Gopi Subramanian is a scientist and author with over 18 years of experience in the fields of data mining and machine learning. During the past decade, he has worked extensively in data mining and machine learning, solving a variety of business problems. He has 16 patent applications with the US and Indian patent offices and several publications to his credit. He is the author of Python Data Science Cookbook by Packt Publishing.

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