Sebastian's books: sebastianraschka.com/books/
This video discusses one of the most basic case of model ensembles, majority voting. Using a toy example (making certain assumptions), we see why majority voting can be better than using a single classifier alone.
-------
This video is part of my Introduction of Machine Learning course.
Next video: • 7.3 Bagging (L07: Ensemble Methods)
The complete playlist: • Intro to Machine Learning and Statistical ...…
A handy overview page with links to the materials: sebastianraschka.com/blog/2021/ml-course.html
-------
If you want to be notified about future videos, please consider subscribing to my channel: youtube.com/c/SebastianRaschka
コメント