Author: Lars Hulstaert Translated by: Wu Jindi Proofread by: Nicola This article is approximately 2000 words, suggested reading time is 9 minutes. This article will discuss different techniques that can be used to explain machine learning models. Most machine learning systems need to be able to explain to stakeholders why specific predictions are made. When … Read more
Source: Basics and Advanced of Deep Learning This article is approximately 2800 words long and is suggested to be read in 9 minutes. This article visually demonstrates the prediction process of the XGBoost machine learning model to help you better understand it. The algorithm using XGBoost often achieves good results in Kaggle and other data … Read more
1. Concept Machine learning is an important branch of artificial intelligence, focusing on improving the performance of computer systems or algorithms through learning from experience data to adapt to various environments and tasks. As machine learning becomes increasingly integrated into everyday life and widely applied, people are becoming more reliant on the critical decisions made … Read more
Using the XGBoost algorithm often yields good results in Kaggle and other data science competitions, which has made it popular. This article analyzes the prediction process of the XGBoost machine learning model using a specific dataset, and by employing visualization techniques to display the results, we can better understand the model’s prediction process. As the … Read more
Selected from Ancestry Author: Tyler Folkman Translated by Machine Heart Contributors: Liu Xiaokun, Li Zenan The algorithm using XGBoost often achieves good results in Kaggle and other data science competitions, making it popular (see: Why Does XGBoost Perform So Well in Machine Learning Competitions?). This article analyzes the prediction process of the XGBoost machine learning … Read more
Using the XGBoost algorithm often yields good results in Kaggle and other data science competitions, making it popular among practitioners. This article analyzes the prediction process of the XGBoost machine learning model using a specific dataset and demonstrates the results through visualization, allowing us to better understand the model’s prediction process. As the industrial application … Read more