Financial AI in Practice: A playbook for credit, fraud, and investment systems
By Taehun Kim
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By Taehun Kim
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"Informative, engaging, and well-grounded in the realities and complexities of the financial domain.”
—Tamer Khraisha, Author of Financial Data Engineering
Banks, insurance companies, mortgage lenders, and other institutions that deal with big money play by different rules than the rest of the software industry. Financial software—including machine learning and AI models—has to survive contact with regulators, risk committees, ...
"Informative, engaging, and well-grounded in the realities and complexities of the financial domain.”
—Tamer Khraisha, Author of Financial Data Engineering
Banks, insurance companies, mortgage lenders, and other institutions that deal with big money play by different rules than the rest of the software industry. Financial software—including machine learning and AI models—has to survive contact with regulators, risk committees, ...






















