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Agus’s Substack

Agus Sudjianto

My personal Substack

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Issues86Founded2 years agoLast Issue3 days ago
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Latest Issues

Keeping Weight of Evidence When You Move to Gradient Boosting

Ask a scorecard developer to explain a model and the answer comes back in weight of evidence. They coarse class each characteristic until the WoE pattern makes sense, screen characteristics on information value and turn WoE into points thro...

3 days ago
2
1

Your Model Learned the Teacher, Not the Outcome

A new kind of model is showing up in decision workflows. You give it a record, a question and a list of candidate answers, and it returns a probability for each candidate. TypeSafe’s Jev is one example. JevAny is an open one with public doc...

9 days ago
2
1

Attention Is a Weighted Average

Ask a data scientist what an attention head does and the answer usually involves transformers, tokens and large language models. The calculation underneath is older and simpler. Dot-product attention computes a kernel-weighted average. If y...

10 days ago
1

When AI Becomes an Insider, Who Is Left to Check Its Work?

Satya Nadella recently published an interesting essay, Models as Insider Risks in the Super Intelligence Era, arguing that increasingly capable AI models should be treated much like privileged insiders within an organization. These models h...

15 days ago
1

Learning the Geometry Before Fitting the Regression

Gradient-boosted trees remain the reference method for supervised learning on tabular data. A fitted ensemble is also bound to the table it was trained on. Its split thresholds and leaf values refer to particular columns, and they have no m...

15 days ago
2

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  • Agus Sudjianto

    Retired EVP of MRM at Wells Fargo, senior executive at Lloyds Banking and Bank of America, and Engineering Manager at Ford. Creator of PiML and MoDeVa. SVP at H2O.ai, focusing on GenAI testing, and a McKinsey Senior Advisor consulting globally.

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