Effectiveness of XGBoost Algorithm in Predicting Mortality in Severe TBI

Effectiveness of XGBoost Algorithm in Predicting Mortality in Severe TBI

First Author: Wang Ruoran, Wang Leping Corresponding Author: Xu Jianguo Author Affiliation: West China Hospital, Sichuan University [REF: Wang R, Wang L, Zhang J, He M, Xu J. XGBoost Machine Learning Algorithm Performed Better Than Regression Models in Predicting Mortality of Moderate-to-Severe Traumatic Brain Injury [published online ahead of print, 2022 Apr 14]. World Neurosurg. … Read more

Illustration of the Top 10 Machine Learning Algorithms

Illustration of the Top 10 Machine Learning Algorithms

Source: Turing Artificial Intelligence, Aotu Data This article is about 3600 words long and suggests a reading time of 7 minutes. This article introduces the 10 most common machine learning algorithms in an illustrated manner. In the field of machine learning, there is a saying that “there is no free lunch in the world”, which … Read more

Illustrated Guide to the 10 Most Common Machine Learning Algorithms

Illustrated Guide to the 10 Most Common Machine Learning Algorithms

In the field of machine learning, there is a saying that “there is no free lunch in the world,” which simply means that no single algorithm can perform best on every problem. This theory is particularly important in supervised learning. For example, you cannot say that neural networks are always better than decision trees, or … Read more

Understanding Neural Networks: A Comprehensive Guide

Understanding Neural Networks: A Comprehensive Guide

Author: Matthew Stewart Translator: Che Qianzi Proofreader: Chen Dan This article is approximately 5500 words, and it is recommended to read it in 12 minutes. The knowledge in this article will provide a strong foundation to introduce you to the performance of neural networks, applied in deep learning applications. “Your brain does not generate thoughts. … Read more

Beginner’s Guide to Using BERT: Principles and Hands-On Examples

Beginner's Guide to Using BERT: Principles and Hands-On Examples

Author Jay Alammar, Translated by QbitAI | WeChat Official Account QbitAI BERT, as a key player in the field of natural language processing, is an unavoidable topic for NLPer. However, for those with little experience and a weak foundation, mastering BERT can be a bit challenging. Now, tech blogger Jay Alammar has created a “Visual … Read more

Understanding Ten Models: Lasso, Bayesian, KNN, Logistic, Decision Trees, Random Forests, SVM, Neural Networks, XGBoost, LightGBM

Understanding Ten Models: Lasso, Bayesian, KNN, Logistic, Decision Trees, Random Forests, SVM, Neural Networks, XGBoost, LightGBM

Machine Learning Machine learning is an important branch of artificial intelligence, playing an increasingly significant role in areas such as data analysis, image recognition, and natural language processing in recent years. The basic concept of machine learning revolves around how to enable computers to learn and predict using data. R, as a powerful tool for … Read more

Customer Churn Prediction in Telecom: KNN, Naive Bayes, Logistic Regression, and More

Customer Churn Prediction in Telecom: KNN, Naive Bayes, Logistic Regression, and More

Full Link: https://tecdat.cn/?p=34635 Analyst: Lingzi Lu Customer churn is a serious problem that exists in various industries, and it has also attracted the attention of numerous telecom service providers—because the cost of acquiring a new customer far exceeds the cost of retaining an existing customer(Click “Read the Original” at the end for complete data)。 Related … Read more

Intuitive Explanation of Logistic Regression by Andrew Ng

Intuitive Explanation of Logistic Regression by Andrew Ng

Deep Learning is a major branch of Machine Learning, which attempts to use algorithms with multiple processing layers containing complex structures or multiple nonlinear transformations to perform high-level abstractions of data. Logistic Regression (Logistic Regression, also translated as “Log-Odds Regression”) is one of the discrete choice models, belonging to the category of multivariate analysis. It … Read more

Predicting Clinical Risk Factors of Diabetes Using Machine Learning

Predicting Clinical Risk Factors of Diabetes Using Machine Learning

Predicting Clinical Risk Factors of Diabetes UsingMultiple Machine Learning Techniques to Resolve Class Imbalance Novice Medical Research Official Website: https://www.newboat.top Our courses are better than Dingxiangyuan! Novice Medical Research PC Learning: https://app.newboat.top/, featuring an offline medical database, data extraction, and high-quality research tools, along with AI accounts. Novice Medical Research Mini Program: Novice Bear Bilibili: … Read more