Fraud takes many forms, and it affects virtually every industry, although not in equal measure. The sectors that deal…
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9 Practical Actions to Improve Machine Learning for Fraud Prevention
Start with simpler, more transparent, and explainable and bias-free models and graduate to complicated models over time. MODELS – Experiment…
Continue ReadingAn Introduction to Evaluating Classification Models
Let’s look at the actual distribution of outcome. Target Class Distribution of Full Datasetsns. countplot(x=fraud['Class'])Here, the class imbalance, or the skewed…
Continue ReadingAnatomy of a Fraudster – How Bad Actors Are Outsmarting Conventional Prevention
It may not sound like news to say that fraudsters are becoming more sophisticated, but as fraud attacks constantly evolve…
Continue ReadingArticle | “Artificial Intelligence at Visa – Current Use Cases and Services”
Source: Emerj | March 21, 2019 Author: Niccolo Mejia Applications for artificial intelligence technology within the financial industry are most…
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