Mathematics for AI — Ch.04: Statistics [KR]

Descriptive statistics provides basic methods to organize, summarize, and interpret observed data, focusing on dataset characteristics to support exploration, feature analysis, data quality assessment, and pattern identification for machine learning. Real‑time AI processes input, performs inference, and delivers actionable results within strict time constraints, prioritizing timely delivery over raw throughput, which is essential for autonomous vehicles, robotics, industrial automation, and intelligent surveillance. Edge AI hardware is specialized computing infrastructure placed near data sources to execute AI workloads locally, reducing communication latency, network dependency, and unnecessary data transfers while emphasizing efficient inference, compact integration, and stable operation in resource‑constrained environments.