Adjunct Assistant Professor
Krzysztof Choromanski joined IEOR Department as an adjunct assistant professor in 2015. He is a member of the machine learning team at Google Research New York. Krzysztof joined Google Research after obtaining Ph.D from IEOR Department in 2013. His interests are very broad and...
IEORE4540 Data Mining for Engineers
Instructor: Krzysztof Choromanski
Additional Information: IEOR_4540_Syllabus_Spring17_Choromanski.pdf
Fall and Spring
The course will cover major statistical learning methods for data mining under both supervised and unsupervised settings. Topics covered include linear regression and classification, model selection and regularization, tree-based methods, support vector machines, and unsupervised learning. Students will learn about the principles underlying each method, how to determine which methods are most suited to applied settings, concepts behind model fitting and parameter tuning, and how to apply methods in practice and assess their performance. We will emphasize roles of statistical modeling and optimization in data mining.