AI in Economics and Data Science

📋 Course Outline

1. AI for Economic Decision-Making
2. History and Evolution of AI
3. AI Definitions and Applications
4. Supervised Learning and Naive Bayes
5. Unsupervised Learning and K-Means
6. Hybrid Recommendation Systems
7. Data Collection Methods
8. Data Analysis and Visualization
9. Advanced Data Analysis Techniques

📖 1. AI for Economic Decision-Making

🔑 Key Concepts & Definitions

• Economic decision-making: economic decision-making is the process of choosing actions based on information to improve outcomes in markets, businesses, or public administration.
• Artificial intelligence: Artificial intelligence is the ability of computers to perform tasks resembling human cognition and behavior using software and hardware methods.
• Machine learning: Machine learning is an AI approach that uses large datasets to make predictions or decisions rather than relying on fixed instructions.
• Predictive economic modeling: Predictive economic modeling uses AI methods to forecast market trends, consumer behavior, and economic impacts.

📝 Essential Points