IE7300 (Statistical Learning for Engineering) course reviews and ratings at Northeastern (NEU). Average rating 3.0/5. Compare professors with RateMyProfessor reviews.
Covers statistical models and methods for data analytics. Reviews fundamentals and key concepts in statistical inferences and learning theory. Presents important statistical learning techniques and algorithms for implementation. Discusses ordinary least square for regression, overfitting and regularization, generalized linear models, and nonlinear and nonparametric models. Applies Bayesian statistics for classification problems. Offers theoretical aspects including the statistical learning framework, conditional probabilistic methods, and their applications in several areas including manufacturing, healthcare, and business.
Data updated October 2026.