AIRE310

Course Description

MTT 200 This course will provide comprehensive understanding in machine learning and pattern recognition concepts and algorithms. During this course, students will learn how to design and construct a pattern recognition system, understand statistical and structural methods, and study different theories and models such as support vector machines and decision trees. Additionally, this course will cover nonparametric techniques and clustering. By the end of this course, students are expected to have a fully conceptual and practical understanding in the provided topics. The course trains students on using Python’s SkLearn for implementing machine learning systems.

Course Details