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Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python book cover by Kevin Feasel
Paperback

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

by Kevin Feasel

$41.99 / copy at 25+ copies As low as $37.19 at 1,000+Your best volume price

Paperback · 353 pages Apress · 2022

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About the book

Finding Ghosts in Your Data

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming language to build a robust service for anomaly detection against a variety of data types. The book starts with an overview of what anomalies and outliers are and uses the Gestalt school of psychology to explain just why it is that humans are naturally great at detecting anomalies. From there, you will move into technical definitions of anomalies, moving beyond "I know it when I see it" to defining things in a way that computers can understand.

The core of the book involves building a robust, deployable anomaly detection service in Python. You will start with a simple anomaly detection service, which will expand over the course of the book to include a variety of valuable anomaly detection techniques, covering descriptive statistics, clustering, and time series scenarios. Finally, you will compare your anomaly detectionservice head-to-head with a publicly available cloud offering and see how they perform.

The anomaly detection techniques and examples in this book combine psychology, statistics, mathematics, and Python programming in a way that is easily accessible to software developers. They give you an understanding of what anomalies are and why you are naturally a gifted anomaly detector. Then, they help you to translate your human techniques into algorithms that can be used to program computers to automate the process. You’ll develop your own anomaly detection service, extend it using a variety of techniques such as including clustering techniques for multivariate analysis and time series techniques for observing data over time, and compare your service head-on against a commercial service.


What You Will Learn
  • Understand the intuition behind anomalies
  • Convert your intuition into technical descriptions of anomalous data
  • Detect anomalies using statistical tools, such as distributions, variance and standard deviation, robust statistics, and interquartile range
  • Apply state-of-the-art anomaly detection techniques in the realms of clustering and time series analysis
  • Work with common Python packages for outlier detection and time series analysis, such as scikit-learn, PyOD, and tslearn
  • Develop a project from the ground up which finds anomalies in data, starting with simple arrays of numeric data and expanding to include multivariate inputs and even time series data

Who This Book Is For

For software developers with at least some familiarity with the Python programming language, and who would like to understand the science and some of the statistics behind anomaly detection techniques. Readers are not required to have any formal knowledge of statistics as the book introduces relevant concepts along the way.


The book, Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python [Bulk, Wholesale, Quantity] ISBN#9781484288696 in Paperback by Kevin Feasel may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Apress
Author
Kevin Feasel
Format
Paperback
Published
Nov 10, 2022
ISBN-13
9781484288696
Pages
353
Printing
Printed on demand
Buying for a group

Finding Ghosts in Your Data in bulk: pricing

Volume pricing applies automatically in your cart. No codes, no account needed.

CopiesPrice per copyYou save
25 – 99 $41.99 30% off list
100 – 249 $40.79 32% off list
250 – 499 $39.59 34% off list
500 – 999 $38.39 36% off list
1,000+ $37.19 38% off list
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