Automated Machine Learning (AutoML) with MATLAB

Automated machine learning (AutoML) automates and eliminates manual steps required to go from a data set to a predictive model. AutoML also lowers the level of expertise required to build accurate models, so you can use it whether you are an expert or have limited machine learning experience.

You’ll learn how to perform AutoML in MATLAB® for feature selection and building a classification model. More specifically, see how to automatically select classification features from your data using univariate feature ranking with chi-square tests. Then, watch how to use ASHA optimization to automatically select and tune the best classification model for the given data set.

Related Products:
Statistics and Machine Learning Toolbox: http://bit.ly/417zrOT

Learn more:
Automated Classifier Selection with Bayesian and ASHA Optimization: http://bit.ly/3JliWZx
Automated Regression Model Selection with Bayesian and ASHA Optimization: http://bit.ly/4mROC7o
AutoML Explained: http://bit.ly/4fRxoEH
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