Curious, but it seems more like Grok "stated" to have found a solution. Which then would be a classic case of the Wiggum Fallacy x.com/ChristophMolna…

Can an office game outperform machine learning? My most recent post on Mindful Modeler dives into the wisdom of the crowds and prediction markets. Read the full story here: mindfulmodeler.substack.com/p/how-an-offic…

Even today a perceived barrier to machine learning is the lack of interpretability. But compared to 10 years ago, we have way more tools for interpreting machine learning models. The easiest way to get started is my book Interpretable Machine Learning: christophm.github.io/interpretable-…

Only waiting for the print proof, but if it looks good, I'll publish the third edition of Interpretable Machine Learning next week. As always, it was more work than anticipated—especially moving the entire book project from Bookdown to Quarto, which took a bit of effort.

Trying Claude Code for some tasks. Paradoxically, it's most expensive when it doesn't work because it fails, then tries a couple of times again, burning through tokens. So sometimes it's 20 cents for saving you 20 minutes of work. Other times it's $1 for wasting 10 minutes.

Has anyone seen Counterfactual Explanations for machine learning models somewhere in the wild? They are often discussed in research papers, but I have yet to see them being used somewhere in an actual process or product.

I'm very impressed by the display of intelligence. The conversational AI wasn’t bad either.

It's becoming clear that vibe coding can 10x-100x your outcome ... at least in terms of tech debt.

What is all this ChatGPT Ghibli hype about? I thought we were already done with the style transfer hype.

bayesian or frequentist? stats or ml? supervised or unsupervised? association or causation? Math and methods overlap, but mindsets differ. We often focus on teaching technicalities and the big picture falls short. That motivated me to write Modeling Mindsets, a big-picture book

"Machine Learning is just statistics." I thought as I entered my first Kaggle machine learning competition. Turned out to be a harsh reality check: ML and statistical modeling require different mindsets. This haunted me for many years, so I wrote the book Modeling Mindsets.