Concept
Bayesian programming
Related courses (5)
CIVIL-606: Inference for large-scale time series with application to sensor fusion
Large-scale time series analysis is performed by a new statistical tool that is superior to other estimators of complex state-space models. The identified stochastic dependences can be used for sensor
EE-613: Machine Learning for Engineers
The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done i
MGT-302: Introduction to data driven business analytics
This course focuses on methods and algorithms needed to apply machine learning with an emphasis on applications
in business analytics
MGT-424: Advanced data driven business analytics
This course aims to provide graduate students a grounding in the methods, theory, mathematics and algorithms needed to apply machine learning techniques to in business analytics domain. The course cov
MGT-448: Statistical inference and machine learning
This course aims to provide graduate students a thorough grounding in the methods, theory, mathematics and algorithms needed to do research and applications in machine learning. The course covers topi