David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

Most working professionals already understand that AI skills are no longer optional they are a career necessity.

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Improving our ability to forecast the weather and climate is of interest to all sectors of the economy and to government agencies from the local to the national level. Weather forecasts zero to ten ...

The prediction of concrete compressive strength (CS, MPa) is fundamental in experimental civil engineering, as it enables the optimization of mix design and complements laboratory testing through ...

Data Science combines scientific inquiry, statistical knowledge and computer programming with a focus on learning powerful insights from big data. Businesses use data to plan, evaluate, innovate, and ...

Director of Content @ISNation & HackerNoon's Editorial Ambassador by day, VR Gamer and Anime Binger by night. On Hacker Noon, I will be sharing some of my best-performing machine learning articles.

Abstract: Good data analysis is required for the optimal design of nuclear energy projects. However, due to financial or technical reasons, data cannot be collected regularly, which leads to missing ...