IIT Madras’ free 2026 ‘Introduction to Machine Learning’ course offers a concept-driven, maths-backed path into AI. Across 12 ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression Cost function is "error" representation of the model. It shows how the model ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...

ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...

Abstract: In the past decade, radiomics has gained huge popularity. This method has a significant potential in cancer detection, diagnostic or prediction of response to a treatment due to its capacity ...

The output variable must be either continuous nature or real value. The output variable has to be a discrete value. The regression algorithm’s task is mapping input value (x) with continuous output ...

I apologize for the long proposal, I believe this idea is right at the border between relevant and out-of-scope. I would like to add a single major statistical function (factors between columns) as a ...