GitLab

Update AI lecture materials: Integrate Machine Learning concepts and practical applications into Part 6, emphasizing model building, evaluation, and data preprocessing techniques.

Refactor AI lecture materials: Remove unnecessary styling and comments from Part 5 documentation to streamline content presentation.

- Update course materials for Linear Algebra with NumPy (part 5.5)
- Update course materials for Calculus for ML (part 5.6)
- Add new README files for source code directories
- Improve formatting and remove unnecessary line breaks
- Update main AI lecture README

Update lecture materials: Enhance AI course content with new sections on FastAPI model serving, advanced RAG techniques, and AI agents, while improving formatting and structure for better readability.

Update glossary.md: Remove outdated AI-related terms and add new definitions for overfitting, underfitting, bias-variance tradeoff, and more to enhance clarity and relevance.

Update README files to include new sections on linear algebra, additional guides for community collaboration, practical applications, and content management policies.

docs: ai_lecture/courses/01_ai_development_environment.md에 Cursor AI 고급 사용 팁 12가지 추가 및 README.md에 관련 링크와 요약 추가