Reproducible Computations in Machine Learning

Catalog description

Credits 3. 3 Lecture Hours. Version control via Git and Github; code profiling; numerical optimization; writing documentation; creation of R packages; case studies of computational challenges based on modern machine learning methods including regularized logistic regression, k-means clustering, sparse regression. Prerequisites: Graduate classification or approval of instructor.