This tutorial showcases the application process and workflow of machine learning algorithms through case studies and code-driven examples, enabling you to master the ability to build scenario modeling solutions and perform effect optimization.This article provides a detailed explanation of the engineering application methods of XGBoost. XGBoost is a powerful boosting algorithm toolkit that is the … Read more
Selected from Medium Translated by Machine Heart Contributors: Liu Tianci, Huang Xiaotian Despite the resurgence and popularity of neural networks in recent years, boosting algorithms still have indispensable advantages in scenarios with limited training sample sizes, shorter training times, and lack of tuning knowledge. This article compares three representative boosting algorithms: CatBoost, LightGBM, and XGBoost, … Read more
Click the “Datawhalee” above and select “star” in the official account Get valuable content instantly This is the third article on decision trees, mainly introducing mainstream ensemble algorithms based on the Boosting framework, including XGBoost and LightGBM. Here is the complete mind map: XGBoost XGBoost is a tool for large-scale parallel boosting trees. It is … Read more
Machine learning is essentially a search in space and generalization of functions. Now enterprises mainly rely on supervised learning based on samples. In reality, logistic regression (LogisticRegression, LR) has a fast training speed and strong interpretability, but its fitting accuracy is insufficient. On the other hand, support vector machines (SupportVectorMachine, SVM) have high prediction accuracy, … Read more
1. What is Ensemble Learning? Ensemble learning is an important branch of machine learning. Ensemble learning, or ensemble learning, is a machine learning method that trains multiple different weak classifiers using sample data, and then integrates these weak classifiers into a powerful classifier. The basic structure of ensemble learning is as follows: first, a set … Read more
Machine learning is a branch of artificial intelligence dedicated to building systems that can learn and adapt automatically. It utilizes statistical models to visualize, analyze, and predict data. A general machine learning model consists of a dataset (for training the model) and an algorithm (to learn from the data). However, some models often have low … Read more
Source: I learned at Xuecheng This article is about 3400 words and is recommended to read in 5 minutes. It evaluates the performance of models from the perspectives of speed and accuracy. Boosting algorithms are a class of machine learning algorithms that build a strong classifier by iteratively training a series of weak classifiers (usually … Read more