Machine learning develops computational methods whose behaviour is learned from data. Statistical learning supplies methods for reasoning about prediction, uncertainty and generalization.
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AI-related lessons can introduce machine learning fundamentals, generative AI, prompt engineering, and intelligent applications. Students can explore these topics through guided activities and suitable projects.
Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. These processes include learning (the acquisition of information and rules for using it), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI can be categorized into different types and subfields: 1. **Narrow AI (Weak AI)**: This form of AI is designed and trained for a specific task, such as facial recognition, language translation, or playing chess.
