Mathematics for AI — Ch.01: Linear Algebra [KR]

The documents outline foundational AI components. Linear algebra provides scalars, vectors, matrices, and tensors that represent and transform numerical data, essential for machine learning, computer vision, NLP, and scientific computing. AI safety emphasizes designing reliable intelligent systems that avoid unacceptable harm, treating safety as a core engineering requirement rather than an afterthought. Edge and cloud AI architectures describe distributed environments where data collection, processing, inference, and decision‑making can be placed locally or centrally, balancing performance, latency, scalability, and cost.