Feasel, Kevin

Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

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ISBN 13:
9781484288696
author:
Feasel, Kevin
format:
Paperback
publisher:
APress
language:
English
Publication Year:
2022
Pages:
632
Dimensions:
25.4 x 17.8 x 2 centimetres (0.6
Genre:
Computers, Artificial Intelligence, Computers,
Condition:
New
Availability:
Item usually sent within 20 working days
£37.60

Description

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using Python to build a robust service for detecting anomalies against different types of data. This book starts with an overview of what anomalies are, exploring why humans are naturally good at spotting them through the lens of psychology. You'll then move on to technical definitions of anomalies, moving beyond intuitive understanding to defining concepts that computers can understand. The core of the book involves building a robust, deployable anomaly detection service in Python, starting with a simple service and expanding to include various valuable techniques such as descriptive statistics, clustering, and time series analysis. As you progress, you'll compare your anomaly detection service head-to-head with a publicly available cloud offering, seeing how they perform. This book combines psychology, statistics, mathematics, and Python programming in an accessible way, helping you understand what anomalies are and how to translate human techniques into algorithms that can be used by computers.

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