Exciting news!
Our book Supervised Machine Learning for Science is now published! 🥳🥳🥳
Available in hardcover, paperback, eBook, and PDF. You can even read it online for free!
You can't "train" a model.
The model always exists.
It existed before you were born and it exists after your death.
You can only find the model.
"Training" is just your way of looking for the model's location in the infinite hypothesis space and binding its essence to silicon
Ready to nerd out on random forests?
Someone wrote an entire Ph.D. thesis on random forests ❤️
200 pages of gems.
Highlights: Why ensembles work, interpretability of forests, and making random forests work on huge datasets.
buff.ly/3QbTC9o
A lot of machine learning research has detached itself from solving real problems, and created their own "benchmark-islands".
How does this happen? And why are researchers not escaping this pattern?
A thread 🧵
