Fraud Analytics in Action : Data Science and Machine Learning Techniques for Detecting Fraud in the Digital Age
Book Details
Format
Hardback or Cased Book
ISBN-10
3032160227
ISBN-13
9783032160225
Publisher
Springer Nature Switzerland AG
Imprint
Palgrave Macmillan
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 17th, 2026
Print length
490 Pages
Ksh 18,000.00
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This book is a comprehensive guide designed for professionals in high-risk sectors, bridging the gap between traditional auditing methods and the modern digital landscape. This book offers innovative solutions, practical Python coding exercises, and real-world scenarios, equipping readers with invaluable insights into fraud analytics.
This book is a comprehensive guide designed for professionals in high-risk sectors, bridging the gap between traditional auditing methods and the modern digital landscape. This book offers innovative solutions, practical Python coding exercises, and real-world scenarios, equipping readers with invaluable insights into fraud analytics. Tailored for internal auditors, data scientists, and analysts, it's an essential resource for navigating the complexities of fraud in the digital era.
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