The earliest AI systems followed predefined rules (e.g., expert systems in the 1980s). While effective for specific tasks, they lacked adaptability.
2. Machine Learning Algorithms
With the rise of big data, ML algorithms emerged, enabling systems to learn from data without explicit programming. Key examples include:
Linear Regression: Predicts continuous outcomes (e.g., house prices).
Decision Trees: Classifies data by asking a series of questions.
Support Vector Machines (SVM): Separates data into categories with high precision.