From the course: Applied Machine Learning: Ensemble Learning (2022)
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Why is ensemble learning so powerful? - Python Tutorial
From the course: Applied Machine Learning: Ensemble Learning (2022)
Why is ensemble learning so powerful?
- [Instructor] Now that we have a general feel for how ensemble learning works, let's talk about why it's as popular as it is. What makes it so powerful? Well, the non-technical answer is that models are a little like people, each one comes with biases and blind spots meaning that they'll perform better in a group where individual biases can be adjusted for and blind spots can be illuminated. People can work together to come to the best answer with all perspectives considered. Some people will pick up on trends or ideas that others may miss. And when you combine all of that insight and all of those perspectives together, it can be really powerful. The more technical answers that ensemble learning reduces bias and variance while limiting the risk of overfiting. Just to copy out that slightly, you can still overfit, but ensemble learning allows you to push the limits a bit more before you reach that point of…
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