Book Image

Practical Data Analysis - Second Edition

By : Hector Cuesta, Dr. Sampath Kumar
Book Image

Practical Data Analysis - Second Edition

By: Hector Cuesta, Dr. Sampath Kumar

Overview of this book

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Table of Contents (21 chapters)
Practical Data Analysis - Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Summary


In this chapter, we introduced the basic concepts of Epidemiology and two basic epidemic models (SIR and SIRS) for infections transmitted from human to human. Then, you learned how to model and solve an ordinary differential equation's system for epidemic models. Finally, we developed a basic simulator implementing a CA of the SIRS model in a small population. We try different parameters and get interesting results. Of course, these examples are only for educational purposes and if we need to model a real disease, we will need an epidemiologist to provide accurate and real parameters.

In the next chapter, you will learn how to visualize and work with graphs from social networking sites using Gephi and Python.