Slides

This workshop presents two business applications of Machine Learning to finance: Credit Risk Prediction and Online Payment Fraud Detection.

Credit risk analysis is important to financial institutions that provide loans to businesses and individuals. Credit loans and finances have risk of being defaulted or delinquent. To understand risk levels of credit users, credit providers normally collect vast amount of information on borrowers. This workshop presents how statistical predictive analytic techniques can be used to analyse and determine risk levels involved on credits, and approve or reject credit applications accordingly.

Fraud detection is one of the earliest industrial applications of anomaly detection and machine learning. This workshop presents best practices, design guidelines and a working implementation for building an online payment fraud detection mechanism connected to a credit card payment gateway.

Practical examples of applications of Machine Learning to the financial business for Credit Risk Prediction and Online Payment Fraud Detection.

• technical background will help with some concepts related to algorithms in Machine Learning, but it is not essential