These are slides from a lecture I gave at the School of Applied Sciences in Münster. In this lecture, I talked about Real-World Data Science and showed examples on Fraud Detection, Customer Churn & Predictive Maintenance. Real-World Data Science (Fraud Detection, Customer Churn & Predictive Maintenance) von Shirin Glander The slides were created with xaringan.

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I have written the following post about Data Science for Fraud Detection at my company codecentric’s blog: Fraud can be defined as “the crime of getting money by deceiving people” (Cambridge Dictionary); it is as old as humanity: whenever two parties exchange goods or conduct business there is the potential for one party scamming the other. With an ever increasing use of the internet for shopping, banking, filing insurance claims, etc.

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Dr. Shirin Glander

Biologist turned Bioinformatician turned Data Scientist

Data Scientist

Münster, Germany