Big Data Meets Livestock

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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!


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