Taught by Dr Ben Leong, AY21/22 Semester 2
Midterms cheatsheet contains content on Search Algorithms and part of Machine Learning.
Finals Cheatsheet
Be warned that these cheatsheets may not be very applicable, as Prof Ben is known for testing practical applications and understanding over content knowledge and memorisation.
- Uninformed and Informed Search
- Heuristics
- Adversarial Search
- Decision Trees
- Linear Regression and Gradient Descent
- Polynomial Regression
- Logistic Regression
- Model Selection
- Regularisation
- Support Vector Machines
- Multi-Layer Neural Networks
- Deep Neural Networks
- Clustering and Unsupervised Learning
- AI Ethics