↑↑↑ Follow “Star Mark” Datawhale Daily Insights & Monthly Study Groups, don’t miss out Datawhale Insights Author: Wang Maolin, Huazhong University of Science and Technology, Datawhale Member Content Overview XGBoost Model and Parameter Tuning Summary XGBoost Principles XGBoost Advantages Summary XGBoost Parameter Details XGBoost Quick Usage XGBoost Parameter Tuning Methods PPT Download: Reply “210502” in … Read more
XGBoost has shone in Kaggle competitions. In previous articles, the principles of the XGBoost algorithm and the XGBoost splitting algorithm were introduced. Most explanations of XGBoost parameters online only scratch the surface, making it extremely unfriendly for those new to machine learning algorithms. This article will explain some important parameters while referring to mathematical formulas … Read more
XGBoost has shone in Kaggle competitions. In previous articles, the principles of the XGBoost algorithm and the XGBoost splitting algorithm were introduced. Most explanations of XGBoost parameters found online only scratch the surface, making it extremely unfriendly for those new to machine learning algorithms. This article will explain some important parameters while referencing mathematical formulas … Read more
Hello everyone, I am Lucy from the AI UP community. Welcome to join our technical group for discussions. Add WeChat: Fintech53, with your job title as a note. Today I want to talk about automated machine learning tools — AutoML tools. This is a very popular trend in the field of AI, and whether you … Read more
Author: Jeremy Jordan Translation by Machine Heart Contributors: Huang Xiaotian, Xu Di Every machine learning researcher faces the challenge of hyperparameter tuning, and during this tuning process, the adjustment of the learning rate is a crucial part. The learning rate represents the speed at which information accumulates over time in a neural network. Ideally, we … Read more