This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI). Through an algorithmic approach, the students are given a practical understanding of the methods being ...

This course covers the core concepts, theory, algorithms and applications of machine learning. We cover supervised learning topics such as classification (Naive Bayes, Logistic regression, Support ...

This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine ... will be taught on the "board'', and hence there are no "slides''.