1 min listen
[MINI] The Bootstrap
FromData Skeptic
ratings:
Length:
11 minutes
Released:
Nov 25, 2016
Format:
Podcast episode
Description
The Bootstrap is a method of resampling a dataset to possibly refine it's accuracy and produce useful metrics on the result. The bootstrap is a useful statistical technique and is leveraged in Bagging (bootstrap aggregation) algorithms such as Random Forest. We discuss this technique related to polling and surveys.
Released:
Nov 25, 2016
Format:
Podcast episode
Titles in the series (100)
[MINI] Cross Validation: 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... by Data Skeptic