Data Skeptic

This miniepisode discusses the technique called Cross Validation - a process by which one randomly divides up a dataset into numerous small partitions. Next, (typically) one is held out, and the rest are used to train some model. The hold out set can then be used to validate how good the model does at describing/predicting new data.

Direct download: MINI_Cross_Validation.mp3
Category:general -- posted at: 7:51am PST