Artificial intelligence architectures and algorithms WF-FI-KGN-WMSZ26

1. Data, Algorithms, and Intelligence: An Introduction to Big Data and AI

2. From Data Sources to Knowledge: Collecting and Processing Information

3. How Do Algorithms Explore the Internet? From Links to Data Networks

4. From Websites to Data: Automated Information Extraction

5. How Do Algorithms Analyze Language? From Text to Knowledge

6. How Does a Machine Focus Attention? From Representation to the Attention Mechanism

7. How Does AI Generate Language? From Tokens to Predicting the Next Words

8. How Does AI Make Decisions? From Features to Classes

9. How Does AI Predict Values? From Data Splitting to Prediction

10. How Does AI Separate Data? Margin, Decision Boundary, and Support Vectors

11. How Does AI Predict Values? Error Margin and Support Vectors

12. How Does AI Learn to Classify? From Neuron to Network

13. How Does AI Predict Values? From Neuron to Continuous Prediction

14. How Do Relationships Form a Network? From Individuals to Social Structure

15. What Does a Network Tell Us? Interpreting Relationships and Positions Within the Structure