Industrial Engineering
IE 7300: Statistical Learning for Engineering
Lecture - 4 credits
ND
EI
IC
FQ
SI
AD
DD
ER
WF
WD
WI
EX
CE
- 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.
Covers statistical models and methods for data analytics. Show more.
Pre-requisites