← All skills
Foundations
Probabilistic reasoning
Use probability to reason under uncertainty.
Target proficiency: Applied
Course outcomes
- AI 101 CO1
Explain the main ideas and history of AI — search, knowledge representation, probabilistic reasoning and learning — using precise vocabulary.
- AI 101 CO2
Apply the machine-learning workflow — features, labels, train/test split, model training and metrics — to simple datasets and interpret the results.