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This course shows students how decision-makers could make better decisions through applying Artificial Intelligence (AI) methods to unstructured data (e.g., text data). The course’s core idea is to organically combine analytical modelling and machine learning methods and thus solve some non-traditional AI problems. An example of such problems could be addressing the fairness issues in intelligent systems as modern societies are automated by ubiquitous intelligent systems. After learning this course, students are expected to have a new perspective of AI and flexibly use AI methods to generate social/business values.
Probabilistic Reasoning in Intelligent Systems by 