Machine Learning for Auditors
Language: English
Published by Springer, Berlin|Apress, 2022
- Softcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
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Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate user levelUse artificial intelligence (AI) techniques to build tools for auditing your organization. This is a practical book with implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing. Yo.
Seller Inventory # 541924464
- Title
- Machine Learning for Auditors
- Author
- Sekar, Maris
- Publisher
- Springer, Berlin|Apress
- Publication year
- 2022
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1484280504
- ISBN 13
- 9781484280508
Machine Learning for Auditors provides an emphasis on domain knowledge over complex data science know how that enables you to think like a data scientist. The book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets. Data science does not need to be an intimidating concept for audit managers and directors. With the knowledge in this book, you can leverage simple concepts that are beyond mere buzz words to practice innovation in your team. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization.
- Understand the role of auditors as trusted advisors
- Perform exploratory data analysis to gain a deeper understanding of your organization
- Build machine learning predictive models that detect fraudulent vendor payments and expenses
- Integrate data analytics with existing and new technologies
- Leverage storytelling to communicate and validate your findings effectively
- Apply practical implementation use cases within your organization
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