In this course, you will learn
- how rule-based systems and ML systems differ and how traditional and deep learning models work.
- how supervised, unsupervised, and reinforcement learning techniques differ from each other.4
- how classic supervised learning techniques such as regression and classification complement classic unsupervised techniques such as clustering and dimensionality reduction.
- the assumptions and outcomes of these four classes of techniques and how solutions can be evaluated.