Machine learning refers to the use of advanced mathematical models, or algorithms, to process large volumes of data and gain insight without direct human instruction or involvement.

A machine learning model that processes text must not only compute every word but also take into consideration how words come in sequences and relate to each other.

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 ...

Machine learning is a way of helping computers understand the meaning of what we say or type. And vector search is a way for those computers to search through everything they know, based on ...

According to the Virginia Department of Health (VDH), drug overdose deaths among Virginia residents decreased by 43% in 2024.

Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate ...

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.