I've recently moved on from a position where I built fraud prevention models.
Our typical method was to use Xgboost with positive weight scaling in our hyperparam search space (amongst other params).
However, almost all recent news and publications seem to surround unsupervised learning, deep learning, transformers etc.
I'm wondering if there have been any semi recent advancements in this field of study?
Engineering new features is an obvious next step but I'm wondering if there's anything we've been missing on the training algorithm side of things.19 минут назад @ reddit.com