Machine learning (ML) uses advanced mathematical models known as algorithms to improve artificial intelligence tools by helping them analyze and comprehend data, letting them “learn” from that ...

Many machine learning books tell you that having a working knowledge of linear algebra. I would argue that you need a lot more than that. Extensive experience with linear algebra is a must-have ...

A support vector machine (SVM) is a software system that can perform binary classification. For example, you can use an SVM to create a model that predicts the sex of a person (male, female) based on ...

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 ...

But when you use machine learning models, they don't look at the world this way. The input that they expect is a very long list of numbers. And that is called a vector. It's just a list of numbers.