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机器学习导论
💡 原文中文，约200字，阅读约需1分钟。
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内容提要

本文介绍了机器学习的关键概念、算法和理论结果，重点讨论了监督和无监督学习问题的概率模型。

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关键要点

  • 介绍机器学习的关键概念、算法及理论结果。
  • 重点讨论监督和无监督学习问题的概率模型。
  • 通过基础概念和算法引导读者接触更深入的课题。
  • 提供指向相关文献的引用。
  • 按照判别模型和生成模型等进行分类。
  • 为具有概率和线性代数背景的研究者提供入门资料。
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标签

关键概念 机器学习 概率模型 监督学习 算法
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