Temporal Confounding is a profound issue in time series forecasting: sciforum.net/paper/view/108…

climate change, pandemics, nationalism, nuclear threat: crunchtime for humankind's take on the Fermi paradox these years Will the non-idiots please stand up?

such a nice example how ML is supercharging the scientific method: nature.com/articles/d4158…

Was it really just symmetry breaking via setting random initial weights what Rosenblatt missed to get backpropagation to work? (as described in Genius Makers)

Just stumbled upon this really nice story from Andrey Kurenkov about the history of neural networks: skynettoday.com/overviews/neur…

Evolution provided us with moderate math skills, AI to the rescue. deepmind.com/blog/discoveri…

This is legit ninja shit.

my recommendation for an off-the-shelf ML algorithm for regression on structured data: scikit-learn.org/stable/modules…

A short history of the world in 13 maps & infographics: 1. Everybody alive today compared to everybody who has ever lived

First open-source pre-release (still lots of polishing needed) of the Cyclic Boosting ML algorithms: github.com/Blue-Yonder-OS… Feel free to try it out, simply do: pip install cyclic-boosting Please come back with criticism and suggestions. Contributors highly welcome!

We just open-sourced Cyclic Boosting, a pure-Python ML algorithm that's explainable, accurate, robust, easy to use, and fast! Learn more in our presentation #Cycl… @wickfelix at #PyConDE #PyDataBerlin 2023.pycon.de/program/MYARJG/

brief summary of main ML concepts: medium.com/@felixwick83/u…