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
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