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I will give a brief introduction to the GBRT model and regression trees -- focusing on intuition rather than mathematical formulas. The majority of the talk will be dedicated to an in depth discussion how to apply GBRT in practice using scikit-learn. We will cover important topics such as regularization, model tuning and model interpretation that should significantly improve your score on Kaggle..Welcome!
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Gradient Boosted Regression Trees (GBRT) is powerful a statistical learning technique with applications in a variety of areas, ranging from web page ranking to environmental niche modeling -- it is a key ingredient of many winning solutions in data-mining competitions such as the Netflix Prize, the GE Flight Quest, or the Heritage Health Price. I will start with a brief introduction to the GBRT model -- focusing on intuition rather than mathematical formulas. The majority of the tutorial will be dedicated to an in depth discussion how to apply GBRT successfully in practice using scikit-learn. We will cover important topics such as regularization, model tuning, and model interpretation that should significantly improve your score on Kaggle..Welcome!
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TikTok-juniorrowingnews
2023/06/26Intro
Outline
Problem Statement
How do you combat any calibration of future observations?
GrowNet Algorithm
Pros and Cons
Experimental Results
Pros
Q&A: How does the gradient boosting step differ from the skip connection in RetinaNet?
Q&A: Do you end up with the best tree when building a deep neural network using GrowNet?
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