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EPISODE · Nov 25, 2016 · 10 MIN
[MINI] The Bootstrap
from Data Skeptic
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.
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[MINI] The Bootstrap
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Frequently Asked Questions
How long is this episode of Data Skeptic?
This episode is 10 minutes long.
When was this Data Skeptic episode published?
This episode was published on November 25, 2016.
What is this episode about?
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...
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