October 28, 2020
16,189
279
19
1.84%
Every word spoken in this episode is indexed. Type any phrase to jump straight to the moment it was said.
Type any word or phrase that may have been spoken. Click a result to seek the player to that exact moment.
Try a name, a topic, or a quoted line
1:04:05Now PlayingSebastian's books
In this video, we will take the concept of boosting a step further and talk about gradient boosting. Where AdaBoost uses weights for training examples to boost the trees in the next round, gradient boosting uses the gradients of the loss to compute residuals on which the next tree in the sequence is fit.
XGBoost paper mentioned in the video
Link to the code
-------
This video is part of my Introduction of Machine Learning course.
The complete playlist
A handy overview page with links to the materials
-------
If you want to be notified about future videos, please consider subscribing to my channel
Sentinel Indexing in Progress
Metadata and chapters are available. Claim extraction for this episode is pending.
All video content is delivered via YouTube embedded players in accordance with the YouTube Terms of Service. Sentinel provides research tools that promote discovery and accountability across political media.