Welcome to a new episode of "PMDS Pillz" by Polimi Data Scientists!

In this second pill, Federico and Francesco take us on a brief tour around the concept of inductive biases, to discuss some insights about the role of problem knowledge in the design of a Machine Learning solution. We will see how some simple assumptions in the context translate into practical decisions that can greatly boost performance!

Mastering this concept gives us another precious key to open the black box of ML algorithms, you can't miss it!

'Till next time, enjoy!

Original soundtrack by Ania Limonta