we can use distance-preserving maps to simplify and get a useful overview of our data

by rotating a noisy line we can better understand the meaning of principal component decomposition

we perform principal component analysis on song data from 1950 to 2010 and interpret the transformed variables

we use random forest decision tree aggregation to study the gender wage gap in the US from 2012

a vector support classifier can help identify whether a mushroom is edible (but beware!)

we use lasso regression with cross validation to look at how tornado magnitude depends on the length and width of its track

we can use a simple baseline model for predicting review sentiment that does surprisingly well

an example applying topic analysis to decision making