Machine Learning with Applications

[0.50] credits · Graduate

The aim of this course is to provide students with an introduction to algorithms and techniques of machine learning particularly in engineering applications. The course places special emphasis on the area of data preparation (preprocessing, post-processing), algorithm comparison and evaluation and complexity analysis of algorithms. The course covers both supervised and unsupervised learning algorithms along with advanced ensemble based machine learning techniques.