Gradient boosted trees are a powerful machine learning technique that appear a lot in practice. There's a lot to like about their performance but there are plenty of other details under the hood that are worth having a deeper look at. That's why we're doing a long series of videos about these models, start with this first one that's all about the intuition.
If you're curious about the code, you can find the notebook for this series here:
https://github.com/probabl-ai/youtube-appendix/blob/main/08-boosting/boosting.ipynb
00:00 Introduction
00:57 Regression task
04:06 Code
05:55 Charts
09:25 Properties
This whiteboard video is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media.
Website: https://probabl.ai/
LinkedIn: https://www.linkedin.com/company/probabl
Twitter: https://x.com/probabl_ai
We also host a podcast called Sample Space, which you can find on your favourite podcast player. All the links can be found here:
https://rss.com/podcasts/sample-space/
If you're keen to see more videos like this, you can follow us over at @probabl_ai.
#probabl
