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Students will get familiar with machine learning methods (MLM) that go beyond the standard data settings (vision, text) taught in other courses. They will learn techniques that work well for tabular and structured data domains (e.g., relational databases), including graph neural networks and other advanced approaches aimed at complex learning problems. Additionally, the course will also teach students methods for model interpretability, the basics of causality, and reinforcement learning.