Mindful Modeler is a love story.

The newsletter combines the best of two worlds: the performance mindset of machine learning and the mindfulness of statistical thinking.

Machine learning has become mainstream while falling short in the silliest ways: lack of interpretability, biased and missing data, wrong conclusions, … To statisticians, these shortcomings are often unsurprising. Statisticians are relentless in their quest to understand how the data came about. They make sure that their models reflect the data-generating process and interpret models accordingly.

In a sea of people who basically know how to model.fit() and model.predict() you can stand out by bringing statistical thinking to the arena.

Sign up for this newsletter to combine performance-driven machine learning with statistical thinking. Become a mindful modeler.

You'll learn about:

  • Thinking like a statistician while performing like a machine learner

  • Spotting non-obvious data problems

  • Interpretable machine learning

  • Other modeling mindsets such as causal inference and prompt engineering

I'll also sneak in updates on what I am working on, here and there.

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Better machine learning by thinking like a statistician. About model interpretation, paying attention to data, and always staying critical.


Writer and machine learning expert