Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an ...

Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...

The demo data has four predictor variables. In my experience, most machine learning Poisson regression problems have just one predictor variable. And in a classical statistics scenario where the goal ...

Linear regression in machine learning is considered as the basis or foundation in machine learning. This video explains the entire maths and the algorithm behind What is Linear Regression in ...

Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...