The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

A support vector machine (SVM) is a computer algorithm that learns by example to assign labels to objects 1.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

He’s credited with coming up with the first support vector machine (SVM) algorithm. SVMs are widely used today for machine learning purposes.

What is machine learning? Karen Hao Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not. This originally appeared in our AI newsletter The Algorithm.

About this issue Abstract To solve the problem of difficult quantitative identification of surface defect depth during laser ultrasonic inspection, a support vector machine-based method for ...