#ml #graphs #convolution #templatematching #spectral #laplacian #fourier #gcn #chebyshev #chebnets #cayleynets #graphsage #gin

Оказывается, ну почти всё в нашей жизни можно представить как граф. Так вот внезапно ты становишься объктом исследования науки и учёных, о которых ничего и не знал.

https://youtu.be/Iiv9R6BjxHM

#timeseries #dsp #fourier #fft #psd

"After we have transformed a signal to the frequency-domain, we can extract features from each of these transformed signals and use these features as input in standard classifiers like Random Forest, Logistic Regression, Gradient Boosting or Support Vector Machines.

Which features can we extract from these transformations? A good first step is the value of the frequencies at which oscillations occur and the corresponding amplitudes. In other words; the x and y-position of the peaks in the frequency spectrum."

https://ataspinar.com/2018/04/04/machine-learning-with-signal-processing-techniques/