Writing Project / E-Book

Introduction to Machine Learning for Fraud Prevention

Introduction to Machine Learning for Fraud Prevention
Project Details

This machine learning (ML) e-book covers some of the challenges when it comes to fighting online fraud, and how feeding your ML model the right data can help prevent fraud. The e-book highlights some of the ML models commonly used for fraud prevention.

The e-book includes a "Machine Learning 101" section that explains what machine learning is and why it is so popular these days. The section explains the difference between a machine learning model and an algorithm. And the section also covers what machine learning can do. The e-book covers ML training methods such as supervised learning, unsupervised learning, deep learning, and reinforcement learning.

Ekata was acquired by Mastercard.

  • Client: Ekata
  • Content Type: E-Book
  • Topics: Machine Learning, Fraud
  • Markets: Fraud Prevention, Identity Data
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