This video is part of the "Artificial Intelligence and Machine Learning for Engineers" course offered at the University of California, Los Angeles (UCLA). This course introduces ML/AI theory and applications that are relevant to engineering, with a focus on practical machine learning for civil engineering. This tutorial illustrates how to use Matlab to build a regression model with Matlab (supervised machine learning). We discuss how to load the data, visualize the features/observations, normalize the features, build a preliminary model, tune the hyperparameters (complexity of the model), and used the trained model to make some forecasting predictions.
