README.md

CS2109S - Introduction to AI and Machine Learning (Cheatsheets)

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.}

Concepts Covered

• 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