Financial and corporate fraud happen every day, and the fraudsters inevitably leave a digital trail. Machine learning techniques, including the latest generation of LLM-driven AI tools, help identify the telltale signals that a crime is taking place. Fight Fraud with Machine Learning
teaches you how to apply cutting edge ML to identify fraud, find the fraudsters, and possibly even catch them in the act.
In Fight Fraud with Machine Learning
you’ll learn how to:
- Detect phishing, card fraud, bots, and more
- Fraud data analysis using Python tools
- Build and evaluate machine learning models
- Vision transformers and graph CNNs
In this cutting-edge book you’ll develop scalable and tunable models that can spot and stop fraudulent activity in online transactions, data stores, even in digitized paper records. You’ll use Python to battle common scams like phishing and credit card fraud, along with new and emerging threats like voice spoofing and deepfakes.