In the video below we profile Tex Hardcattle and Brand McRopinride, a pair of BigML users with a really interesting application. Hope you enjoy it!
For those of you who are wondering how multivariate time-series EEG data is only five-dimensional in the dataset shown, you should know that Tex and Brand preprocessed the data using a discrete wavelet decomposition, took aggregate statistics over the wavelet subbands, then performed kernel PCA. They’re not as simple as they make themselves out to be.
P.S. – Thanks to Footage Island!