Valerie Carey – Medium

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Valerie Carey
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Towards Data Science

What (Not) To Say When Your Client Questions Your Results

Use these pivotal moments to build trust and understanding

12 min readJul 19, 2022

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An abstract image divided horizontally, with teal water on the left and light brown deck boards on the right.

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Valerie Carey
in
Towards Data Science

No Label Left Behind: Alternative Encodings for Hierarchical Categoricals

Seeking a system that works for current and future codes

15 min readMay 17, 2024

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A lamp hanging in front of a window, with a flower box and mountain visible outside the window.

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Valerie Carey
in
Towards Data Science

Exploring Hierarchical Blending in Target Encoding

When can code hierarchies improve target encoding for high-cardinality categorical features?

12 min readApr 18, 2024

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Exploring Hierarchical Blending in Target Encoding

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Valerie Carey
in
Towards Data Science

SHAP vs. ALE for Feature Interactions: Understanding Conflicting Results

Model Explainers Don’t Produce Explanations

10 min readOct 2, 2023

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SHAP vs. ALE for Feature Interactions: Understanding Conflicting Results

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Valerie Carey
in
Fanfare

Book Discussion| AI 2041: Ten Visions for Our Future

Exceptional young men, lovelorn young women, and bots

13 min readMay 14, 2022

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A male and a female lego robot on a blue background. The female robot is grimacing at the camera as the male robot looks at her.

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Valerie Carey
in
Towards Data Science

AI Integrity: Leadership Lessons from Other Industries

Do other fields make mistakes better?

11 min readFeb 4, 2022

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AI Integrity: Leadership Lessons from Other Industries

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Valerie Carey
in
Towards Data Science

AI Integrity: Planning Ahead to Do The Right Thing

How to prepare for inevitable mistakes

12 min readNov 30, 2021

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AI Integrity: Planning Ahead to Do The Right Thing

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Valerie Carey
in
Towards Data Science

Measuring “Fairness” When Ages Differ

10 min readMay 11, 2021

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Measuring “Fairness” When Ages Differ

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Valerie Carey
in
Towards Data Science

Feature Choice and Fairness: Less May be More

Thoughtful predictor selection is essential for model fairness

10 min readMar 15, 2021

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Feature Choice and Fairness: Less May be More

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Valerie Carey
in
Towards Data Science

How to Fix Feature Bias

Choosing a strategy requires testing and tradeoffs

12 min readFeb 8, 2021

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How to Fix Feature Bias

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Valerie Carey

Valerie Carey

Data Scientist /business analyst. In love with all things analytics. Interested in AI ethics, credibility, trust. All opinions are my own.

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