Sean Harkin – Medium

Sean Harkin

Data Scientists: Don’t Feel Like You Have to be Instant Experts on LLMs

It’s an easy temptation, but it’s better to be clear that most data scientists are still mastering this tech.

1 min readJan 15, 2024

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Sean Harkin

Data Science for Refuting Bad Ideas

One of the most important uses of statistical methods

3 min readJan 12, 2024

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Sean Harkin

Limiting Learning Capacity

The most essential idea and the most counter-intuitive idea in data science

2 min readJan 12, 2024

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Sean Harkin

Agile Project Management for Data Science

You need it because both data and code bases spring surprises

4 min readJan 12, 2024

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Sean Harkin

The Two Cultures in Data Science

We get better results if we have both statistics-type backgrounds and engineering-type backgrounds in our teams

2 min readJan 12, 2024

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Sean Harkin

Don’t Leave Models Static for a Long Time

It’s common practice in many businesses, but it has serious pitfalls

1 min readJan 12, 2024

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Sean Harkin

Understand Your Data Before You Model It

Even though it’s very tempting to race ahead to the most fun part of data science

1 min readJan 12, 2024

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Sean Harkin

The Different Kinds of Data Science Prediction

And how to avoid allergic reactions to the word “prediction”

3 min readJan 11, 2024

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Sean Harkin

Saying No To Building A Model

The importance of opposing building models when you know they will be bad.

2 min readJan 10, 2024

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Sean Harkin

Machine Learning for Explaining Your Data

The case for combining traditional coefficient inference with explainable ML techniques

2 min readJan 8, 2024

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Sean Harkin

Sean Harkin

Data Science leader. PhD in statistical modelling. Programmer. Interested in empirical and computational analysis of economic and social issues.

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