DATA 4025 - Introduction to Machine Learning

Credits: 3

The first and foremost objective of this course is to provide a gentle introduction of machine learning which is a very deep and rapidly changing field. Second, to provide students with the skills necessary to pick up new technology as it is developed. Keeping this in mind, this course emphasizes learning basics of fundamental machine learning algorithms for classification, functional approximation, and regression. Especially, the course content focuses on understanding and implementing the training, testing, and validation phases of learning algorithm development. Topics will also include study of the computational complexity associated with development and execution of learning algorithms for a given data set. Furthermore, students will have the opportunity to learn one of the high-level programming languages for scripting computationally intensive machine learning algorithm.

Prerequisite(s): MATH 1113; CISM 1130 or CSCI 1130; BUSA 2182 or MATH 1401 or SOCI 2101

Print this Page