توضیحات
This book explores the principles and techniques of credit intelligence, including credit scoring, risk assessment, and predictive modeling for financial decision-making. It covers statistical methods, machine learning approaches, and data analysis techniques used to evaluate borrower reliability and forecast defaults. Through practical examples and case studies, readers learn how to build, validate, and deploy credit models effectively. The text also addresses regulatory considerations, model performance monitoring, and best practices for risk management in banking and finance. By the end, readers gain the knowledge and skills to apply credit intelligence methods to improve financial decision-making and manage credit risk efficiently.
نقد و بررسیها
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