ThinkDeeply Marketplace

Summary:

SMFG, the Japanese financial services company, uses TensorFlow deep machine learning framework to analyse and identify fraudulent transactions. They claim to be able to predict fraud with a 80-90% accuracy.

Problem:

SMFG created a machine learning based credit card fraud detection system as some types of frauds are hard to detect, and manual monitoring requires lots of time and resources to be effective.

Solution:

Instead of manual intervention, the fraudulent cases can be automatically captured with an accuracy of 80 to 90 percent, even for the most difficult cases. For their system, they used a deep neural network to achieve this.

SMFG, the Japanese financial services company, uses deep neural network to analyse credit card transactions and predict fraud with an 80-90% accuracy

Summary:

Problem:

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