A thorough introduction to the theoretical foundations and practical applications of Machine Learning (ML) by Dr. Zubair Khalid.
Machine learning (ML) studies the design and development of algorithms that learn from the data and improve their performance through experience. ML refers to a set of methods that help computers to learn, optimize and adapt on their own.
This course provides a thorough introduction to the theoretical foundations and practical applications of ML. We will learn fundamental algorithms in supervised learning and unsupervised learning. We will not only learn how to use ML methods and algorithms but will also try to explain the underlying theory building on mathematical foundations. While reviewing the several problems and algorithms to carry out classification, regression, clustering, dimensionality reduction, we will focus on the core fundamentals which unify all the algorithms.
This course is offered by Dr. Zubair Khalid, Assistant Professor in the Department of Electrical Engineering, SBASSE.