The Dummy Handbook on Machine Learning Fraud Detection

Leave behind buzzwords and obfuscation to become a machine-learning fluent fraud expert.

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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About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.