Machine Learning with MATLAB
Learn to create regression, classification, and clustering models and improve their performance.
Prerequisites: MATLAB Fundamentals
This course is included with select licenses.
Shareable progress report and course certificate
Lessons are available in English and Japanese.
Get an overview of the course. Import and process data, explore data features, and train and evaluate a classification model.
Use unsupervised learning techniques to group observations based on a set of explanatory variables and discover natural patterns in a data set.
Use available classification methods to train data classification models. Make predictions and evaluate the accuracy of a predictive model.
Validate model performance. Optimize model properties. Reduce the dimensionality of a data set and simplify machine learning models.
Use supervised learning techniques to perform predictive modeling for continuous response variables.
Create and train neural networks for clustering and predictive modeling. Adjust network architecture to improve performance.
Machine Learning with MATLAB is also offered in an instructor-led format.