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Highlights from
Machine Learning with MATLAB

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Machine Learning with MATLAB

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05 Aug 2013 (Updated )

These are the supporting MATLAB files for the MathWorks webinar of the same name.

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Description

** Update: The webinar recording is available at:
https://www.mathworks.com/company/events/webinars/wbnr78262.html

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

Acknowledgements

Rotate X Axis Tick Labels and Plot Groups Of Stacked Bars inspired this file.

Required Products Fuzzy Logic Toolbox
Neural Network Toolbox
Parallel Computing Toolbox
Statistics Toolbox
MATLAB
MATLAB release MATLAB 8.1 (R2013a)
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Comments and Ratings (3)
28 Dec 2013 Wenwu

Thanks, nice webinar and supplementary files.

16 Dec 2013 PRIYA  
08 Dec 2013 Sergey  
Updates
05 Aug 2013

Added webinar link

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