Your neural network cannot explain this. Tighten the rescue! | by Ari Joudy, PHD | Jan, 2025
The intended target designation (TMLE) helps you describe patterns when other strategies fall short
Neural networks can see patterns, communication, and situations with a marvelous accuracy. But when it comes to answering 'Why does this happen?' There is no human as a parrot to imitate the people's talk.
They will give you predictions, make sure – but try to ask yourself the meaning, and you will be left at the dark box.
This limit is not like neural networks. Methods designed as straight rehabilitation and advanced tools such as Procsensity's score cannot find the center of the styles based on the causation data. That is a problem when decision makers (read: Your managers) are looking for a perceived business understanding and not Geeks's statistics that value NERDS.
At risk of my argument, here is the topic of the geeky very much for you: targeted targeted targets (TMLE). Item, TMLE is the best in the world's world. It allows you to play around the numbers according to your nerdy brains desires, but also makes your managers happy to produce business information.
In fact, you get the stability of causal acquisition
