Archive - Mindful Modeler

Causal Explanations: A Formal Way to Actually Understand Why

A guest post by David A. Kelly, Nathan Blake, and Hana Chockler (King’s College London)

Jul 15 •

Christoph Molnar

Working with Satellite Data? Let’s talk.

I’m writing a hands-on book for ML folks getting into remote sensing.

Jul 4 •

Christoph Molnar

May 2025

Additive Thinking: A Human Habit

A guest post by Vasilis and Julia

May 8 •

Christoph Molnar

and

Vasilis Gkolemis

April 2025

Who’s Really Making the Decisions?

LLMs, tariffs, and the silent takeover of decisions

Apr 8 •

Christoph Molnar

SHAP Interpretations Depend on Background Data — Here’s Why

Or why height doesn't matter in the NBA

Apr 1 •

Christoph Molnar

March 2025

The 3rd Edition of Interpretable ML is published 🥳

I published the third edition of the Interpretable Machine Learning book.

Mar 13 •

Christoph Molnar

February 2025

Can an office game outperform machine learning?

Wisdom of the crowds, prediction markets, and more fun in the work place.

Feb 25 •

Christoph Molnar

How to win an ML competition beyond predictive performance

A dive into the challenges and winning solution

Feb 4 •

Christoph Molnar

January 2025

Why I almost stopped working on Interpretable Machine Learning

7 years ago I started writing the book Interpretable Machine Learning.

Jan 21 •

Christoph Molnar

Seeing the World with a Prediction Mindset

I am fascinated by the topic of prediction.

Jan 14 •

Christoph Molnar

December 2024

Sneak peek into the new edition of Interpretable Machine Learning

It’s time to update the Interpretable Machine Learning book to the 3rd edition.

Dec 11, 2024 •

Christoph Molnar

What Are Shapley Interactions, and Why Should You Care?

A guest post by Julia, Max, Fabian and Hubert.

Dec 3, 2024 •

Christoph Molnar

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