#65 Preventing Fraud in eCommerce with Data Science
DataFramed
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Navigating E-Commerce Fraud Detection
This chapter explores the intricacies of e-commerce fraud, specifically how fraudsters exploit stolen credit cards and the significant liability merchants face. It emphasizes the shift from traditional fraud detection methods to modern machine learning solutions that enable real-time decision-making and enhance order approval processes. Best practices for building effective fraud detection systems are discussed, highlighting the need for comprehensive data analysis and collaboration among experts.
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Transcript
