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Valerie Carey

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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

Jul 19, 2022

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

Jul 19, 2022

Valerie Carey
in
Towards Data Science

Visualizing Stochastic Regularization for Entity Embeddings

A glimpse into how neural networks perceive categoricals and their hierarchies

Aug 6

Visualizing Stochastic Regularization for Entity Embeddings

Aug 6

Valerie Carey
in
Towards Data Science

Data Disruptions to Elevate Entity Embeddings

Injecting random values during neural network training can help you get more from your categoricals

Jun 4

Data Disruptions to Elevate Entity Embeddings

Jun 4

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

May 17

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

May 17

Valerie Carey
in
Towards Data Science

Exploring Hierarchical Blending in Target Encoding

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

Apr 18

Exploring Hierarchical Blending in Target Encoding

Apr 18

Valerie Carey
in
Towards Data Science

SHAP vs. ALE for Feature Interactions: Understanding Conflicting Results

Model Explainers Don’t Produce Explanations

Oct 2, 2023

SHAP vs. ALE for Feature Interactions: Understanding Conflicting Results

Oct 2, 2023

Valerie Carey
in
Fanfare

Book Discussion| AI 2041: Ten Visions for Our Future

Exceptional young men, lovelorn young women, and bots

May 14, 2022

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.

May 14, 2022

Valerie Carey
in
Towards Data Science

AI Integrity: Leadership Lessons from Other Industries

Do other fields make mistakes better?

Feb 4, 2022

AI Integrity: Leadership Lessons from Other Industries

Feb 4, 2022

Valerie Carey
in
Towards Data Science

AI Integrity: Planning Ahead to Do The Right Thing

How to prepare for inevitable mistakes

Nov 30, 2021

AI Integrity: Planning Ahead to Do The Right Thing

Nov 30, 2021

Valerie Carey
in
Towards Data Science

Measuring “Fairness” When Ages Differ

May 11, 2021

Measuring “Fairness” When Ages Differ

May 11, 2021

Valerie Carey

Valerie Carey

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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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