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
See how to use machine learning tools in MATLAB to solve regression, clustering, and classification problems.
Read and Explore the Basics
Walk Through an Introduction
Test-drive the Classification Learner app.
Can you find a model with high accuracy?
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®).
Master Machine Learning
Explore Deep Learning
See how engineers use MATLAB for machine learning across industries such as aerospace and defense, finance, and automotive.
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