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A short history of SHAP
The 70 year history of one of the most popular machine learning explanations methods
May 30
•
Christoph Molnar
15
2
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A short history of SHAP
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The Statistician Who Loved Machine Learning
A Different Interpretation of a Classic by Leo Breiman
May 23
•
Christoph Molnar
12
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The Statistician Who Loved Machine Learning
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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…
May 16
•
Christoph Molnar
8
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Can you explain GPT with ... GPT?
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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…
May 9
•
Christoph Molnar
9
4
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Bayesian modeling from first principle and memes
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Proofreading an entire book with GPT-4 for $6.88
How I automated a part of my job
May 2
•
Christoph Molnar
23
6
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Proofreading an entire book with GPT-4 for $6.88
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April 2023
Log Odds or Probability
Which Space Should You Choose for Classifier Interpretation?
Apr 25
•
Christoph Molnar
7
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Log Odds or Probability
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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…
Apr 18
•
Christoph Molnar
7
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When in Doubt, Abstain: Why Machine Learning Models Need to Know Their Limits
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Simplify Your Writing Process with Quarto
A tool for books, ebooks, reports, websites, ....
Apr 11
•
Christoph Molnar
15
5
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Simplify Your Writing Process with Quarto
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March 2023
Why you (probably) shouldn't use LIME to explain model predictions
It's a neighborhood thing
Mar 28
•
Christoph Molnar
8
1
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Why you (probably) shouldn't use LIME to explain model predictions
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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…
Mar 21
•
Christoph Molnar
5
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Improve Post-Hoc Interpretation By Leveraging Background Data
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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…
Mar 14
•
Christoph Molnar
3
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Creatures That Cheat Their Creators
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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…
Mar 7
•
Christoph Molnar
7
2
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Conformal Prediction is Available in Print 🥳
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