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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