GitHub

suan-4/Time-Series-Forecasting-of-Power-Load-Employing-the-XGBoost-Algorithm

这是你suan的第一个项目，每日电力负荷的时间序列预测模型,数据集格式模板为：'年/月/日 时:分'(year/month/day hour:minute ...
IEEE

Calories Burnt Prediction Using ANN and XGBoost Regression Algorithms from Physical Activities

Calorie expenditure is essential for measuring fitness and managing health, and it forms the basis of creating individualized diet and activity plans. For people trying to reach fitness objectives and ...
NPR

2 Senators want to hold big tech accountable for harms caused by algorithms

Social media companies and their respective algorithms have repeatedly been accused of fueling political polarization by promoting divisive content on their platforms. Now, two U.S. Senators have ...
Nieman Journalism Lab

Want to fight misinformation? Teach people how algorithms work

In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...
Scientific American

The Math Trick Hidden in Your Credit Card Number

You’re at the checkout screen after an online shopping spree, ready to enter your credit card number. You type it in and instantly see a red error message ...
Frontiers

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
ascopubs.org

Prediction of Patients With High-Risk Osteosarcoma on the Basis of XGBoost Algorithm Using Transcriptome and Methylation Data From SGH-OS Cohort

Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...
techtimes

Leveraging Machine Learning Algorithms to Combat Fraud in Supply Chain Operations

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
IEEE

Machine learning, Prophet and XGBoost algorithm: Analysis of Traffic Forecasting in Telecom Networks with time series data

Abstract: Network traffic or data traffic is defined as the volume of data moving across a network at a given point of time. Network data in computer networks is usually encapsulated in system packets ...
The Atlantic

The Technology That Actually Runs Our World

You might have heard that algorithms are in control of everything you hear, read, and see. They control the next song on your Spotify playlist, or what YouTube suggests you watch after you finish a ...