Aspiring Data Science
366 subscribers
420 photos
11 videos
10 files
1.85K links
Заметки экономиста о программировании, прогнозировании и принятии решений, научном методе познания.
Контакт: @fingoldo

I call myself a data scientist because I know just enough math, economics & programming to be dangerous.
Download Telegram
Forwarded from Artem Ryblov’s Data Science Weekly (Artem Ryblov)
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

@accelerated_learning
👍1