6 Standardizations that are just too damn hard to get
We are caught in sub-optimal situations
In Machine Learning, you describe a problem and you try to find a model which solves that problem well. It’s very common that the model is stuck in a locally optimal solution — meaning tiny changes make the model worse… but big changes make it better.