The worst was "leading indicator". It was used initially to mean inputs to a machine learning model, but it organically spread to refer to almost any form of data at any point in the ML pipeline.
That's an interesting example.
Also, the same pattern has happened to other terms as well:
1. At first, a quite specific meaning.
2. As time goes on, the same term gets used for more & more things.
Comments
Yes, that's a great point. Some names are generally unclear, but more often, they are unclear in a context. Do you have some "contextual" examples?
The worst was "leading indicator". It was used initially to mean inputs to a machine learning model, but it organically spread to refer to almost any form of data at any point in the ML pipeline.
That's an interesting example. Also, the same pattern has happened to other terms as well: 1. At first, a quite specific meaning. 2. As time goes on, the same term gets used for more & more things.