Titlebook: Machine Learning for Auditors; Automating Fraud Inv Maris Sekar Book 2022 Maris Sekar 2022 Auditng.Storytelling.Trusted Advisors.Predictive

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niques.Improves data literacy in the audit team and the orgaUse 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 a

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Machine Learning Fundamentalson. The chapter will also look at some of the things to keep in mind during the feature engineering stage. It also talks about model fitting, specifically, overfitting and underfitting and how to avoid them.

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Introduction to AI, Data Science, and Machine Learningform certain actions based on historical behavior. Machine Learning algorithms help the AI system to learn from past data that are collected using data acquisition systems or sensors connected to the AI system.

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Trust, but VerifyThe chapter will end with an overview of the various sections used to report findings for data science and audit projects. The sections of the data science project will be integrated with the audit projects to ensure it supports the audit verification process.

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Common Audit Challengesa review log trail or emails from appropriate authorities showing that they approved the access before the access was granted. The supporting documentation, in this case, can be called .. We will explore more unstructured data in this chapter.