Abstract

ABSTRACT The advances in machine learning have gained close attention from audit practitioners and standard setters. However, fewer than half of accounting programs teach predictive analysis, including machine learning. To develop students’ knowledge and skills of machine learning in auditing applications, this study introduces machine learning to the accounting curriculum and presents a novel hands-on approach for teaching machine learning in auditing courses. The objective is to provide students who have no statistics background and programming skills with the basic knowledge of machine learning and hands-on exercises for predicting auditing tasks. In addition to instruction manuals, this study demonstrates an implementation of machine learning exercises in a graduate-level auditing course.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.