Financial AI in Practice: A playbook for credit, fraud, and investment systems (Final Release)
English | 2026 | ISBN: 1633435393 | 464 pages | True EPUB | 16 MB
In this important book, author Taehun Kim distills a decade of fintech experience into a repeatable 4-Layer Framework—Data Assets, Modeling, Strategy & Monitoring, and Application. As you go, you’ll build AI-first financial systems that take on four real-world challenges—credit scoring, fraud detection, investment, and personalized predictions. You’ll start with an end-to-end credit scoring pipeline that trains and deploys an XGBoost model to prepare and validate data, orchestrate recurring workflows, engineer features with Weight of Evidence and Information Value, and deliver verifiable explanations.
