Hello guys, Welcome to Africa's Largest Video Search Engine, and you are watching 7.5 Gradient Boosting (L07: Ensemble Methods). and this video is uploaded by Sebastian Raschka at 2020-10-27T22:48:46-07:00. We are just promoting this video only for entertainment and educational purpose only. I hop you like our Video Search Engine. [zblsrxc7XpM]
| Name | 7.5 Gradient Boosting (L07: Ensemble Methods) |
| Video Uploader | Video From Sebastian Raschka |
| Upload Date | This Video Uploaded At 28-10-2020 05:48:46 |
| Video Discription | 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: https://dl.acm.org/doi/pdf/10.1145/2939672.2939785 Link to the code: https://github.com/rasbt/stat451-machine-learning-fs20/tree/master/L07/code ------- This video is part of my Introduction of Machine Learning course. Next video: https://youtu.be/r5C3TUIw6Zk The complete playlist: https://www.youtube.com/playlist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3 A handy overview page with links to the materials: https://sebastianraschka.com/blog/2021/ml-course.html ------- If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka [zblsrxc7XpM] |
| Category | Science & Technology |
| Tags | machine learning | boosting | gradient boosting | xgboost | lightgbm |
