“Modeling Mindsets” Author Interview and Reading Notes

📚 Some people may know that I host a DS/ML book club where we read one book per month. This month, we read ‘Modeling Mindsets’ by Christoph Molnar. Christoph is a statistician and machine learning expert. I have read his first book Interpretable Machine Learning and absolutely loved it.

This Modeling Mindsets book elucidates the worldviews behind various statistical modeling and machine learning mindsets, such as Bayesian inference, supervised learning, causal inference, and more. It’s a short and pleasant read.

In this blog post, I’d like to share an interview we had with the author that’s full of insights. I’ll also be sharing my personal reading notes for those who are curious about this book.

🔗 Book link: https://amzn.to/3PVDto5

Author Interview

Our DS/ML book club had a great chat with Christoph about this book. Here are some key points from our discussion:

• Frequentism vs. Bayesianism vs. Likelihoodism
• The T-Shaped Modeler
• The LLM mindset
• The challenges in interpreting LLMs
• Career advice