Machine Learning with MATLAB

These are the supporting MATLAB files for the MathWorks webinar of the same name.
Updated 1 Sep 2016

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** Update: The webinar recording is available at:
In this webinar you will learn how to get started using machine learning tools to detect patterns and build predictive models from your datasets. In this session, you will learn about several machine learning techniques available in MATLAB and how to quickly explore your data, evaluate machine learning algorithms, compare the results, and apply the best machine learning for your problem.

Highlights include unsupervised and supervised machine learning techniques including:
• K-means and other clustering tools
• Neural Networks
• Decision trees and ensemble learning
• Naïve Bayes Classification
• Linear, logistic and nonlinear regression

Cite As

Abhishek Gupta (2024). Machine Learning with MATLAB (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Machine Learning/Classification/html/

Machine Learning/Clustering/html/

Version Published Release Notes

Updated license

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