From Statistical Distributions to ImageNet’s 1,000 Abaci| mindfulmodeler.substack.com
A note-taking system based on Obsidian and Zotero| mindfulmodeler.substack.com
Why ChatGPT always proposes the same things| mindfulmodeler.substack.com
A guest post by David A. Kelly, Nathan Blake, and Hana Chockler (King’s College London)| Mindful Modeler
I’m writing a hands-on book for ML folks getting into remote sensing.| Mindful Modeler
LLMs, tariffs, and the silent takeover of decisions| Mindful Modeler
Or why height doesn't matter in the NBA| Mindful Modeler
I published the third edition of the Interpretable Machine Learning book.| Mindful Modeler
Wisdom of the crowds, prediction markets, and more fun in the work place.| Mindful Modeler
A dive into the challenges and winning solution| Mindful Modeler
7 years ago I started writing the book Interpretable Machine Learning.| Mindful Modeler
I am fascinated by the topic of prediction.| Mindful Modeler
It’s time to update the Interpretable Machine Learning book to the 3rd edition.| Mindful Modeler
A guest post by Julia, Max, Fabian and Hubert.| Mindful Modeler
When I heard about “Mechanistic Interpretability” (MI), I was confused.| Mindful Modeler
A book for scientists and beyond.| Mindful Modeler
Of all the methods for interpreting machine learning models, permutation feature importance is the easiest to implement.| Mindful Modeler
Randomness is not a nuisance, but an elemental mechanism in machine learning| Mindful Modeler
What do you do in the following scenario?| Mindful Modeler
Why Machines Learn: The Elegant Maths Behind Modern AI by Anil Ananthaswamy is quite an unusual book.| mindfulmodeler.substack.com
How Gzip and K-Nearest Neighbors Can Outperform Deep Learning Models| mindfulmodeler.substack.com
