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Overall, if you’re serious about modern fraud detection, from tabular ML to deep-fake audio, you’ll dog-ear plenty of pages and keep this book within arm’s reach.
This book aligns very well with the growing interest in using machine learning and AI to detect and prevent fraud. It covers a wide range of practical use cases that reflect real-world challenges across industries, from identity fraud and document forgery to transaction monitoring and phishing detection.