2 Matching Annotations
  1. Nov 2025
    1. Remembering: Recalling basic facts and concepts.记忆 :回忆基本事实和概念。 Understanding: Explaining ideas or processes.理解 :解释概念或过程。 Applying: Using knowledge in new situations.应用 :将知识运用到新的情境中。 Analyzing: Breaking down information into components.分析 :将信息分解成各个组成部分。 Evaluating: Making judgments based on criteria and standards.评价 :根据标准和准则做出判断。 Creating: Producing original work or solutions.创造 :产生原创作品或解决方案。

      布鲁姆分类法 1. 记忆: 回忆基本事实和概念 2. 理解: 解释概念或者过程 3. 应用: 将只是运用到新的情境中 4. 分析: 将信息分级成各个组成部分 5. 评价: 根据标准和准则做出判断 6. 创造: 制作原创作品或解决方案

    2. Machine learning systems represent inherently complex engineering challenges. However, they are constructed from fundamental building blocks that must be thoroughly understood before advancing to sophisticated implementations. This pedagogical approach parallels established educational progressions: students master basic algorithms before tackling distributed systems, or develop proficiency in linear algebra before engaging with advanced machine learning theory. ML systems similarly possess essential foundational components that serve as the basis for all subsequent learning.

      机器学习系统本身就代表着复杂的工程挑战。然而,它们是由一些基本构建模块组成的,这些模块必须被透彻理解才能进行更复杂的实现。这种教学方法与既定的教育进程相呼应:学生在掌握分布式系统之前先精通基本算法,或者在学习高级机器学习理论之前先熟练掌握线性代数。机器学习系统同样拥有一些必要的底层组件,这些组件构成了所有后续学习的基础