Leveraging Machine Learning to Create a Reliable Anti-Fraud System

Leveraging Machine Learning to Create a Reliable Anti-Fraud System

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Conclusion and Key Takeaways

10 of 10

10 of 10

Conclusion and Key Takeaways

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Classroom Contents

Leveraging Machine Learning to Create a Reliable Anti-Fraud System

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  1. 1 Introduction to Anti-Fraud
  2. 2 Understanding Fraud and Anti-Fraud Mechanisms
  3. 3 Fraud in Mobile Gaming
  4. 4 Payment Fraud in FinTech
  5. 5 Building an Automatic Anti-Fraud System
  6. 6 Challenges with Machine Learning in Anti-Fraud
  7. 7 Infrastructure and Data Considerations
  8. 8 Ensemble Models and Risk Management
  9. 9 Operational Workflow and Monitoring
  10. 10 Conclusion and Key Takeaways

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