Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

The purpose is to comprehend the links between qualities, specifically any association between features and predicted labels. This includes detecting and fixing data problems (e.g. missing values, ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: Maximum power extraction from the solar photovoltaic (PV) system under partial shading conditions is a challenging task since the shaded PV portion acts as a load instead of generating the ...

Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...

Deanna Needell has received funding from the National Science Foundation and the Congressionally Directed Medical Research Programs (US). Kristine Bauer receives funding from NSERC to support her ...