Agus’s Substack

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2026-10-22

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Agus Sudjianto

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12 recent issues

• Covers: Machine learning architectures, model risk management, agentic AI systems, model validation, and quantitative modeling practices.
• For: Data scientists, machine learning engineers, and risk management professionals in finance and technology.
• Best for: Technical practitioners and risk leaders building or validating enterprise machine learning models.
• Skip if: General consumers or non-technical business professionals looking for high-level AI overviews.

Start with

• Keeping Weight of Evidence When You Move to Gradient Boosting: Explains how to maintain interpretability and scorecard metrics when transitioning to gradient boosting.
• Model Validation Has Always Been Agentic: Examines the investigative nature and practical requirements of model validation processes.
• MRM Lessons from Banking: Shares practical lessons on establishing and modernizing model risk management functions.

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