What the Agentic Era Means for Data Science
Data science has entered the 'Agentic Era,' shifting the focus from manual procedural execution to the evaluation and supervision of autonomous AI agents. These agents use a 'Perceive-Reason-Act-Evaluate' loop to handle data cleaning, EDA, and tuning, evolving the data scientist's role from an executor of 'how' to a decision-maker of 'whether'.
入选理由:AI 智能体采用迭代循环机制(感知-推理-行动-评估),而非传统的单次 Prompt 响应模式。
