Topic: Uncertainty Reasoning

This session we discussed supervised vs unsupervised learning, and the parameters they require. We also learned the different types of formal languages such as fuzzy logic, propositional logic, etc. We also learned how to represent probability based on the case of events happening. Other key concepts we learned also includes:

• Conditional Probability
• Bayes Rule
• Naive Bayes

We then did an exercise using Naive Bayes to figure out the probability of an event happening based on the conditions given in the question.