ascopubs.org

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States

This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates across the United States. Model ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Linux Journal

Unlocking Data Science Potential Understanding Machine Learning and Data Analysis with JupyterLab

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Using AI in Visual Regression Testing to Boost Software Quality

In software testing, keeping the user interface consistent and error-free requires regular checks after every update. Teams often compare screenshots or use basic visual regression testing tools to ...
San Francisco Fed

How Magic a Bullet Is Machine Learning for Credit Analysis? An Exploration with FinTech Lending Data

Advocates of FinTech lending argue that it enables lenders to predict loan outcomes more accurately by employing complex analytical tools, such as machine learning (ML) methods. The authors of this ...