Quantile discretization is a quantization technique, in which a sample of observations of a continuous-valued variable are assigned to levels corresponding to the p-tiles of the sample. As such, each partition has an equal number of observations (+/- 1). Along with uniform quantization, data scientists frequently refer to it as “binning.”