This section will focus on the mathematical foundations behind machine learning and AI systems. The aim is to treat AI less as a slogan and more as a field built on formal methods, models, and constraints.
Planned Themes
- probability, statistics, and inference
- optimization and loss functions
- linear algebra in model design
- formal models, uncertainty, and generalization