Machine learning for auditors = auto...
Sekar, Maris.

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  • Machine learning for auditors = automating fraud investigations through artificial intelligence /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Machine learning for auditors/ by Maris Sekar.
    其他題名: automating fraud investigations through artificial intelligence /
    作者: Sekar, Maris.
    出版者: Berkeley, CA :Apress : : 2022.,
    面頁冊數: xvii, 242 p. :ill., digital ;24 cm.
    內容註: Part I. Trusted Advisors -- 1. Three Lines of Defense -- 2. Common Audit Challenges -- 3. Existing Solutions -- 4. Data Analytics -- 5. Analytics Structure & Environment -- Part II. Understanding Artificial Intelligence -- 6. Introduction to AI, Data Science, and Machine Learning -- 7. Myths and Misconceptions -- 8. Trust, but Verify -- 9. Machine Learning Fundamentals -- 10. Data Lakes -- 11. Leveraging the Cloud -- 12. SCADA and Operational Technology -- Part III. Storytelling -- 13. What is Storytelling? -- 14. Why Storytelling? -- 15. When to Use Storytelling -- 16. Types of Visualizations -- 17. Effective Stories -- 18. Storytelling Tools -- 19. Storytelling in Auditing -- Part IV. Implementation Recipes -- 20. How to Use the Recipes -- 21. Fraud and Anomaly Detection -- 22. Access Management -- 23. Project Management -- 24. Data Exploration -- 25. Vendor Duplicate Payments -- 26. CAATs 2.0 -- 27. Log Analysis -- 28. Concluding Remarks.
    Contained By: Springer Nature eBook
    標題: Auditing, Internal - Data processing. -
    電子資源: https://doi.org/10.1007/978-1-4842-8051-5
    ISBN: 9781484280515
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