You use train four machine learning models using a different algorithms: linear regression, support vector machine, a regression decision tree, and a basic artificial neural network.

Machine learning enables computers to learn from data and make judgments without requiring explicit programming using a number of key steps from data collection to model deployment.

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 ...

The transformer model has become one of the main highlights of advances in deep learning and deep neural networks.