Machine Learning

Catalog description

A survey of machine learning techniques, including traditional statistical methods, resampling tech- niques, model selection and regularization, tree-based methods, prin - cipal components analysis, cluster analysis, artificial neural networks, and deep learning. Implementing machine learning models with open- source software. Learning from data, finding underlying patterns useful for data reduction, feature analysis, prediction, and classification.