Machine Learning for Risk Management: Fraud Detection Using Machine Learning
4,514 views · Published 8 October 2018 · 4:43 · Indexed 12 November 2026
Channel: MATLAB · 2018 · Science & Technology
- Learn about Quantitative Finance and Risk Management using MATLAB: http://bit.ly/2KrVtSX Credit card fraud may be one of the most common fraudulent activities in many countries. The number of fraudulent activities is very small (less than 1%). Common performance metrics, such as accuracy, may not be that useful for determining model performance. - Download a Trial: http://bit.ly/2V8ZWyW In this demo, you will learn how to use machine learning to detect fraudulent activities as well as how to use built-in functions in MATLAB® to calculate the area under the precision-recall curve (AUPRC), a custom performance metric. -------------------------------------------------------------------------------------------------------- Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2019 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
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