득보다 실이 더 많음을 깨닫게 됩니다. 이때는 모델을 시프트한 분포에 맞게 조정하거나 다른
솔루션으로 교체해야 합니다.
한편 많은 기업은 데이터 시프트가 불가피하다고 생각하고, 따라서 시프트한 정도와 상관없이
한 달에 한 번, 일주일에 한 번 또는 하루에 한 번 주기적으로 모델을 재훈련합니다. 모델을 재
훈련하는 최적 빈도는 중요한 결정 사항임에도 많은 기업에서 실험 데이터 대신 직감을 바탕으
로 결정합니다.
49
재훈련 빈도는
9
장에서 자세히 다룹니다. ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month, and much more.
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.