Using Machine Learning to Detect Fraudulent SMSs in Chichewa

Name: Using Machine Learning to Detect Fraudulent SMSs in Chichewa
Uploaded: 2026-09-05T00:36:48.659498+00:00
Duration: 428 s
Description: The episode discusses 'Using Machine Learning to Detect Fraudulent SMSs in Chichewa,' a paper by Amelia Taylor and Amoss Robert. The hosts highlight the importance of creating a foundational dataset for this low-resource language, noting that Random Forest and SVM performed best while emphasizing that localized data is crucial for accurate fraud detection.

The episode discusses 'Using Machine Learning to Detect Fraudulent SMSs in Chichewa,' a paper by Amelia Taylor and Amoss Robert. The hosts highlight the importance of creating a foundational dataset for this low-resource language, noting that Random Forest and SVM performed best while emphasizing that localized data is crucial for accurate fraud detection.

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