Difference between revisions of "TDSM 7.21"

From The Data Science Design Manual Wikia
Jump to: navigation, search
(Created page with "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 relativ...")
 
Line 1: Line 1:
 
In my personal experience, I would say good data is more important.
 
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.
 
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.
 
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.

Revision as of 05:15, 11 December 2017

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.