Statistics and Machine Learning Toolbox™ provides tools for accessing, preprocessing, and visualizing data; extracting features; training and optimizing models; and preparing models for deployment.

The typical workflow begins with accessing, cleaning, and preprocessing your data in preparation for extracting features. The toolbox supports all widely used classification, regression, and clustering algorithms, and it makes the challenging parts of model building easier with:

• Point-and-click apps for training and comparing models
• Automatic hyperparameter tuning and feature selection for optimizing model performance
• Scaling processing to big data and clusters using the same code
• Fast execution compared to popular open source tools

With MATLAB Coder™ you can automatically generate C/C++ code from machine learning models for use in embedded and high-performance applications.