Machine Learning

Machine learning is the study of using mathematical models to help a computer to analyze data and learn directly from experience, without being explicitly programmed to do so. It is considered as a sub-cluster of artificial intelligence.

Using MATLAB, engineers and other domain experts have deployed thousands of machine learning applications. 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 machine learning (AutoML) including feature selection, model selection and hyperparameter tuning
• 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
• Integration with Simulink as native or MATLAB Function blocks, for embedded deployment or simulations
• All popular classification, regression, and clustering algorithms for supervised and unsupervised learning
• Faster execution than open source on most statistical and machine learning computations

This free, two-hour tutorial provides an interactive introduction to practical machine learning methods for classification problems.

Machine Learning Onramp

Deploy statistics and machine learning models to embedded systems and generate readable C or C++ code for your entire machine learning algorithm, including pre and post processing steps. Accelerate verification and validation of your high-fidelity simulations using machine learning models through MATLAB function blocks and native blocks in Simulink.