A machine learning model is a program that is used to make predictions for a given data set. A machine learning model is built by a supervised machine learning algorithm and uses computational methods …

Discover machine learning capabilities in MATLAB for classification, regression, clustering, and deep learning, including apps for automated model training and code generation.

Jun 23, 2025 · Physics-informed machine learning enables tasks such as predicting phenomena with greater precision and less data, as well as solving differential equations more efficiently. With …

Learn how MATLAB can help to predict future outcomes by creating predictive models using mathematical and computational methods. Approaches include curve and surface fitting, time-series …

Interpret Machine Learning Models This topic introduces Statistics and Machine Learning Toolbox™ features for model interpretation and shows how to interpret a machine learning model (classification …

Prediction Using Artificial Intelligence Battery Cycle Life Prediction from Initial Operation Data Predict the remaining cycle-life of a fast charging Li-ion battery using a supervised machine learning algorithm. …

This example briefly explains the code generation workflow for the prediction of linear regression models at the command line. For more details, see Code Generation for Prediction of Machine Learning …

The Regression Learner app trains regression models to predict data. Using this app, you can explore your data, select features, specify validation schemes, train models and optimize hyperparameters, …

Visualize and Assess Model Performance in Regression Learner After training regression models in the Regression Learner app, you can compare models based on model metrics, visualize results in a …

Jul 14, 2025 · Together, these posts have shown how physics-informed machine learning bridges the gap between data-driven modeling and established scientific principles, and can help with more …