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Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence
Maris Sekar (Author)
·
Apress
· Paperback
Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence - Maris Sekar
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Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Wednesday, June 12 and
Friday, June 28.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence"
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 with your internal and external clients by understanding the data that drives your organization. What You Will LearnUnderstand the role of auditors as trusted advisorsPerform exploratory data analysis to gain a deeper understanding of your organizationBuild machine learning predictive models that detect fraudulent vendor payments and expensesIntegrate data analytics with existing and new technologiesLeverage storytelling to communicate and validate your findings effectivelyApply practical implementation use cases within your organization Who This Book Is ForAI Auditing is for internal auditors who are looking to use data analytics and data science to better understand their organizational data. It is for auditors interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of your organizational processes.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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