Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

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

Learn how to implement linear regression from scratch in C++. A beginner-friendly guide to machine learning basics.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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 ...

ABSTRACT: Postoperative nausea and vomiting (PONV) is a common complication after anesthesia and surgery. Traditional predictive models, such as Apfel scores, rely on linear assumptions and limited ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Background: Acute ST-segment elevation myocardial infarction (STEMI) is a cardiovascular emergency that is associated with a high risk of death. In this study, we developed explainable machine ...