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The Dummy Handbook on Machine Learning for Fraud Detection

What we discuss in this simple handbook:

  • What is machine learning?
  • What kinds of ML do I need to be aware of?
  • What simple examples from my everyday life can I use to understand these concepts?
  • How does machine learning help fraud teams?
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Machine learning is fascinating. In fact, it might be one of the most interesting fields of knowledge out there today and examples of industries that have been transformed by it abound. From music to financial services, machine learning is here to stay.

But fascinating concepts can sometimes become enshrouded as they become “buzzwords”. At DataVisor, we are very passionate about artificial intelligence and machine learning and decided to publish this handbook to explain in simple and clear terms what “supervised machine learning” and “unsupervised machine learning” are and which one is better to protect your business from fraud.

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Ideal for fraud strategists

 

  • Learn the difference between supervised and unsupervised ML
  • Understand how ML detects different fraud patterns and threats
  • See how to quickly integrate ML as a fraud prevention tool in your strategy
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About Datavisor

DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases.