MACHINE LEARNING FOR DATA SCIENCE

Catalog description

This course introduces supervised and unsupervised machine learning techniques as well as main approaches to dimensionality reduction using minimal theory and hands-on examples. The course utilizes popular, yet simple and efficient tools to learn from data and to create production-ready models. Topics start with fundamental classification algorithms, such as linear regression, and progress to deep neural networks. Prerequisite: DATA6150 (3 credits) spring