| 書目名稱 | Machine Learning for Auditors |
| 副標(biāo)題 | Automating Fraud Inv |
| 編輯 | Maris Sekar |
| 視頻video | http://file.papertrans.cn/621/620586/620586.mp4 |
| 概述 | Enables a deeper understanding of your organizational processes and data.Provides valuable skills around storytelling and data analysis techniques.Improves data literacy in the audit team and the orga |
| 圖書封面 |  |
| 描述 | Use 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. You will learn about data analysis techniques that will help you gain insights into your data and become a better data storyteller. The guidance in this book around applying artificial intelligence in support of audit investigations helps you gain credibility and trust with your internal and external clients. A systematic process to verify your findings is also discussed to ensure the accuracy of your findings..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 |
| 出版日期 | Book 2022 |
| 關(guān)鍵詞 | Auditng; Storytelling; Trusted Advisors; Predictive Models; Data Analytics; Fraud Detection; Artificial In |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4842-8051-5 |
| isbn_softcover | 978-1-4842-8050-8 |
| isbn_ebook | 978-1-4842-8051-5 |
| copyright | Maris Sekar 2022 |
|Archiver|手機(jī)版|小黑屋|
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