Machine Learning with MATLAB

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

MathWorks a Visionary in Jan 2019 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

Start Using MATLAB for Machine Learning

Watch a Demonstration

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

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

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®).