Bagging... works how? | Ensembles #2: Intuition of Bootstrap Aggregating in Machine Learning

Описание: Bagging is a popular method for combining multiple models together.

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Learn more:
Wiki: https://en.wikipedia.org/wiki/Bootstr...
Reduce overfitting: https://agupubs.onlinelibrary.wiley.c...
Evaluating aggregation methods (with results showing reduced error for measuring the age of abalone, predicting housing prices, and predicting the amount of Ozone in Los Angeles): https://www.sciencedirect.com/science...


Chapters:
0:00 Bagging in Research
0:16 What is Bagging?
0:36 How Bagging Works
1:16 When do you use Bagging?
1:31 Why Bagging?
1:50 My Opinion
2:08 Food for Thought




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