3 ms·
That’s the point: without knowing that time is an important feature your ML model will come to the wrong conclusion.
by cwilkes 4y ago
That’s the point: without knowing that time is an important feature your ML model will come to the wrong conclusion.
- nl 4y agoI don't think that was the point the OP was making. I think they were trying to argue that ML cannot learn control loops or maybe that the system needs to "understand" physics (Not sure - it wasn't really clear to me). The fact there is a control loop here doesn't actually seem important if you represent the features correctly. I'd argue that data representation is actually what you need to get right (ie, in this case the behavior in the time domain).
- skybrian 4y agoThe correlation exists. If you see that the AC is running a lot then you can predict that the outside temperature is warmer. What machine learning algorithms even try to determine causation?