Course overview
This is an introductory course on statistical machine learning that will present you with an overview of several essential principles, popular techniques, and algorithms in statistical machine learning, as well as examples of their applications. You will build skills in developing algorithms using basic machine learning principles and theory. After completing this course, you will understand how, why and when machine learning can be utilised in real-world situations.
Course learning outcomes
- Apply basic concepts of machine learning and classic algorithms, such as Support Vector Machines, Neural Networks and Deep Learning.
- Demonstrate an understanding of the basic principles and theory of machine learning necessary to develop algorithms.
- Devise algorithms to solve real-world problems.
- Perform mathematical derivation of presented algorithms.