Teaching & PhD
Management of Technology
This class provides a hands-on introduction to statistics and data science, with a focus on causal inference and applications to sustainability issues using Python.
This class provides a hands-on introduction to data science and machine learning topics, exploring areas such as regression, classification, clustering, dimensionality reduction, text analytics, and neural networks. The course consists of lectures and coding sessions using the Python language.
This class discusses advanced data science and machine learning (ML) topics: Recommender Systems, Graph Analytics, and Deep Learning, Big Data, Data Clouds, APIs, Clustering. The course uses the Wolfram Language. Outcome: coding exercises in ML using real-data and a big ML project deliverable.