TDSM 7.21
From The Data Science Design Manual Wikia
Revision as of 05:15, 11 December 2017 by HongyiDuanmu (talk | contribs)
In my personal experience, I would say good data is more important.
If you don't have good model, you can try some other models or just get a relatively good model and relatively good result. However, with bad data, you can do nothing but hate the world and hate the society.
In another perspective, it is much much more expansive and hard to collect, label and maintain a good dataset. This could involved in lots of manual labor.
