Artificial Intelligence
Artificial Intelligence (AI) is the study of building systems that simulate human intelligent behavior. This section unifies the two classical AI paradigms — Symbolic AI and Machine Learning — within a single knowledge framework, along with data science foundations and AI safety.
Contents:
- AI Foundations — AI definition & history, three research paradigms, philosophy of intelligence
- Symbolic AI Paradigm — AIMA guide, search, logical reasoning, knowledge representation, probabilistic reasoning, planning
- Machine Learning Paradigm — Supervised/unsupervised/ensemble learning, kernel methods, time series, statistical learning theory
- Data Science — Data collection & cleaning, EDA, feature engineering, big data technologies
- AI Safety & Trustworthiness — Adversarial attacks & defense, LLM and system security, trustworthy AI, AI ethics & governance, and alignment