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Combatting Human Trafficking with Anomaly Detection - Part 1

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Anomaly Detection Courses Data Analysis Courses Machine Learning Courses Human Trafficking Courses Money Laundering Courses Fraud Detection Courses Feature Engineering Courses

Course Description

Overview

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Explore a 23-minute conference talk from the Toronto Machine Learning Series (TMLS) on using anomaly detection to combat human trafficking. Learn how Julian Michetti-Wilson, a Senior Analyst at Canadian Tire Bank, leverages machine learning techniques to identify financial indicators of human trafficking victimization. Discover how feature engineering and anomaly detection methods are applied to transaction and customer data, in conjunction with FINTRAC's operational alert, to support fraud investigators in detecting and reporting suspicious activities. Gain insights into the challenges of performance evaluation and the success of this approach in targeting potentially compromised accounts.

Syllabus

Combatting Human Trafficking with Anomaly Detection 1


Taught by

Toronto Machine Learning Series (TMLS)

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