MATLAB for Machine Learning

Discover patterns and build predictive models with engineering, manufacturing, and financial data

Using MATLAB®, engineers and other domain experts have deployed thousands of applications for predictive maintenance, sensor analytics, finance, and communication electronics. MATLAB makes the hard parts of machine learning easy with: 

  • Point-and-click apps for training and comparing models
  • Advanced signal processing and feature extraction techniques
  • Automatic hyperparameter tuning and feature selection to optimize model performance
  • The ability to use the same code to scale processing to big data and clusters 
  • Automated generation of C/C++ code for embedded and high-performance applications
  • All popular classification, regression, and clustering algorithms for supervised and unsupervised learning
  • Faster execution than open source on most statistical and machine learning computations

"With MATLAB and Statistics and Machine Learning Toolbox, once I had data ready I could try out 10 or 20 different classifier methods in minutes. If I had coded them manually, it would have taken me years."

Andrew Harper, Celestion

Start Using MATLAB for Machine Learning

Watch a Demonstration

Introduction to Machine Learning
4 Videos
Introduction to Machine Learning (4 Videos)
Explore the fundamentals behind machine learning, focusing on unsupervised and supervised learning. You’ll learn about common machine learning techniques including clustering, classification, and regression.

Read and Explore the Basics

Machine Learning with MATLAB
Ebook: Machine Learning with MATLAB
This short ebook is your guide to the basic techniques. You’ll see that machine learning is within your grasp—you don’t need to be an expert to get started.

Walk Through an Introduction

Introduction: Machine Learning Workflow
Introduction: Machine Learning Workflow
Read through an introduction that explains what machine learning is, and shows how to train classification and regression models in MATLAB.

Test-drive the Classification Learner app.

Use the Classification Learner app to try different classifiers on your dataset. Fit common models like decision trees, support vector machines, ensembles, and more. Compare models using ROC curves and confusion matrices.

Try it on the Fisher Iris dataset: Can you find a model with high accuracy?

  Run the app in your browser

Learn Advanced Maneuvers

Work with Big Data

Use the power and simplicity of tall arrays in MATLAB® to access, explore, and process big data, as well as data that doesn't fit in memory (including data stored on Spark™ and Hadoop®).
4:13
Video: Tall Arrays in Action
Use the power and simplicity of tall arrays in MATLAB® to access, explore, and process big data, as well as data that doesn't fit in memory (including data stored on Spark™ and Hadoop®).

Master Machine Learning

Mastering Machine Learning: A Step-by-Step Guide with MATLAB
Ebook: Step-by-Step Guide
Get the ebook, download the code, and step through a hands-on machine learning tutorial that helps you master machine learning techniques.

Explore Deep Learning

MATLAB for Deep Learning
Overview: MATLAB for Deep Learning
With just a few lines of MATLAB code, you can build deep learning models without having to be an expert. Explore how MATLAB can help you perform deep learning tasks.

Getting Started Examples

See how engineers use MATLAB for machine learning across industries such as aerospace and defense, finance, and automotive.

See examples

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Explore Statistics and Machine Learning Toolbox

Watch video (2:11)