Applied Machine Learning

3 units

This course introduces machine learning with business applications. It provides a survey of statistical and machine learning algorithms and techniques including the machine learning framework; regression; classification; regularization and reduction; tree-based methods; unsupervised learning; and fully connected, convolutional, and recurrent neural networks. Students implement machine learning models with open-source software for data analytics and applications. They explore data and learn from data, finding underlying patterns useful for data reduction, feature analysis, prediction, and classification.