What the Agentic Era Means for Data Science
KDnuggets1505 字 (约 7 分钟)
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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。
FeaturedArticle#AI Agents#Data Science#LangGraph#AutoGen#LLM Orchestration英文
