Mindful Modeler

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A short history of SHAP
The 70 year history of one of the most popular machine learning explanations methods
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Christoph Molnar
2
The Statistician Who Loved Machine Learning
A Different Interpretation of a Classic by Leo Breiman
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Christoph Molnar
Can you explain GPT with ... GPT?
Deep neural networks such as GPT aren’t known for their interpretability. OpenAI recently tried interpreting GPT-2 anyways and their approach is…
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Christoph Molnar
Bayesian modeling from first principle and memes
It took me a long time to understand Bayesian statistics. So many angles from which to approach it: the Bayes' Theorem, probability as a degree of…
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Christoph Molnar
4
Proofreading an entire book with GPT-4 for $6.88
How I automated a part of my job
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Christoph Molnar
6
April 2023
Log Odds or Probability
Which Space Should You Choose for Classifier Interpretation?
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Christoph Molnar
When in Doubt, Abstain: Why Machine Learning Models Need to Know Their Limits
Machine learning have a drawback that, at first glance, looks like an advantage: Machine learning models always give an answer.* *As long as the input…
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Christoph Molnar
Simplify Your Writing Process with Quarto
A tool for books, ebooks, reports, websites, ....
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Christoph Molnar
5
March 2023
Why you (probably) shouldn't use LIME to explain model predictions
It's a neighborhood thing
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Christoph Molnar
1
Improve Post-Hoc Interpretation By Leveraging Background Data
Model-agnostic interpretation methods like PDP and SHAP require data for estimation. Now you could treat that simply as a nuisance, something to be…
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Christoph Molnar
Creatures That Cheat Their Creators
This newsletter is a bit shorter, but it contains a gem: one of my favorite papers featuring adorable but mischievous creatures. (I’m chilling on my…
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Christoph Molnar
Conformal Prediction is Available in Print 🥳
Introduction To Conformal Prediction With Python is now also available as a print version (in color)! 🎉 You can get it from Amazon. What Is Conformal…
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Christoph Molnar
2
© 2023 Christoph Molnar
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