Beginning Anomaly Detection Using


CHAPTER 8 Practical Use Cases



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Beginning Anomaly Detection Using Python-Based Deep Learning

CHAPTER 8

Practical Use Cases 

of Anomaly Detection

In this chapter, you will learn how anomaly detection can be used in several industry 

verticals. You will explore how anomaly detection techniques can be used to address 

practical use cases and address real-life problems in the business landscape. Every 

business and use case is different, so while we cannot copy-paste code to build a 

successful model to detect anomalies in any dataset, this chapter will cover many use 

cases to give an idea of the possibilities and concepts behind the thought processes.

In a nutshell, the following topics will be covered throughout this chapter:

•  What is anomaly detection?

•  Real-world use cases of anomaly detection

•  Telecom

•  Banking

•  Environmental

•  Healthcare

•  Transportation

•  Social Media

•  Finance and Insurance

•  Cybersecurity

•  Video Surveillance

•  Manufacturing




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•  Smart Homes

•  Retail

•  Implementation of deep learning-based anomaly detection




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