Machine Learning with MATLAB

MATLAB for Machine Learning

Train models, tune parameters, and deploy to production or the edge

Machine learning teaches machines to do what comes naturally to humans: learn from experience. Use MATLAB^® to engineer features from your data and fit machine learning models.

Why MATLAB for Machine Learning?

Classify Data Using the Classification Learner App

Interactively explore your data, select features, and train, compare, and assess models by using the Classification Learner and Regression Learner apps.

Classify Data Using the Classification Learner App (4:34)

Integrate with Simulink Systems

Integrate your trained models with Simulink® as native or MATLAB Function blocks, for embedded deployment or simulation of complete systems.

Deploy Trained Models to Hardware

Deploy your trained models to hardware platforms (from desktop systems to embedded hardware) by generating readable and portable C/C++ code.

Machine Learning Applications

With just a few lines of MATLAB code or with low-code apps, you can incorporate machine learning into your applications whether you are building models, engineering features, or generating code and deploying to embedded systems.