10 ms·
and not a single DS/ML person seems to have ever heard of it.
by hprotagonist 7y ago
and not a single DS/ML person seems to have ever heard of it.
- teej 7y agoBecause most folks in DS/ML are working on predicting likelihood to press a button. You don’t need Fourier transforms for that.
- hprotagonist 7y agoyou do, depending on your feature preprocessing.
- XuMiao 7y agoCNN is essentially a FT with learnable kernels.
- hprotagonist 7y agowell, it’s certainly usually convolution. Hardly anyone knows why or how that connects to the FT though.
- scottlocklin 7y agoMost DS/ML people are useless chimps. FWIIW I've used it all the time, along with wavelets, cepstrums, lifters and Hilbert transforms. For timeseries with nonlinearities and lots of data points, it's the way to go. 9/10 times I'd rather hire a EE with signal processing background than a statistician or data scientist for time series work.