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Artem Ryblov’s Data Science Weekly Artem Ryblov’s Data Science Weekly @data_science_weekly · 684 subscribers
Post #47 327
Mindful Modeler by Christoph Molnar

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 modeller.

You'll learn about:
- Thinking like a statistician while performing like a machine learner
- Spotting non-obvious data problems
- Interpretable machine learning
- Other modelling mindsets such as causal inference and prompt engineering

Link
https://mindfulmodeler.substack.com/

Navigational hashtags: #armknowledgesharing #armnewsletters
General hashtags: #modelling #modeling #ml #machinelearning #statistics #modelinterpretation #data #interpretability #casualinference

@data_science_weekly
Substack Mindful Modeler | Christoph Molnar | Substack Tabular foundation models, ML interpretability, and beyond by a statistician turned machine learner. Click to read Mindful Modeler, by Christoph Molnar, a Substack publication with tens of thousands of subscribers.
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