作品簡介

This book equips finance professionals, quantitative analysts, and ambitious students with a practical, systematic framework for integrating artificial intelligence and machine learning into every stage of financial analysis. From data ingestion and feature engineering to model deployment and risk‑adjusted performance evaluation, the book blends rigorous theory with hands‑on code examples, real‑world case studies, and ethical considerations for responsible AI in finance.