Scaling Issues in Machine Learning

Inefficiencies in the code of, like, maybe looping through things. memory issues. I had inefficiencies with data base indexes or indexes. The infrot structur just not realizing, ok, you're now operating at a different scale. You need to upgrade things. We were using em p g search as well, and i remember that thatjus wasn't configured well. And a big part of the import was searching, because to find is this book, this book in your goodrey spread sheet. Do we hae already? So there was inefficiencies there. It was just as things like that, just like scrips, just just scaling well.