chore: split AI & Data into AI & ML and Data & Science

AI & ML: AI and Agents, Machine Learning, Deep Learning, Computer Vision,
Natural Language Processing, Recommender Systems, Robotics.

Data & Science: Data Analysis, Data Validation, Data Visualization,
Geolocation, Science, Quantum Computing.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>