feat: 完整中文翻译 maths-cs-ai-compendium（数学·计算机科学·AI 知识大全）

翻译自英文原版 maths-cs-ai-compendium，共 20 章全部完成。第01章向量 | 第02章矩阵 | 第03章微积分第04章统计学 | 第05章概率论 | 第06章机器学习第07章计算语言学 | 第08章计算机视觉 | 第09章音频与语音第10章多模态学习 | 第11章自主系统 | 第12章图神经网络第13章计算与操作系统 | 第14章数据结构与算法第15章生产级软件工程 | 第16章 SIMD与GPU编程第17章 AI推理 | 第18章 ML系统设计第19章应用人工智能 | 第20章前沿人工智能翻译说明： - 所有数学公式 $...$ / $$...$$、代码块、图片引用完整保留 - mkdocs.yml 配置中文导航 + language: zh - README.md 已翻译为中文（兼 docs/index.md） - docs/ 目录包含指向各章文件的 symlink - 约 29,000 行中文内容，排除 .cache/ 构建缓存
2026-05-03 10:23:20 +08:00
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+  </defs>
+  <text x="360" y="22" fill="#333" font-size="14" font-weight="bold" text-anchor="middle">Word2Vec: CBOW vs Skip-gram</text>
+
+  <!-- === CBOW (left side) === -->
+  <text x="170" y="50" fill="#3498db" font-size="13" font-weight="bold" text-anchor="middle">CBOW</text>
+  <text x="170" y="66" fill="#666" font-size="10" text-anchor="middle">Predict target from context</text>
+
+  <!-- Context words (input) -->
+  <rect x="30" y="85" width="70" height="28" rx="5" fill="#3498db" opacity="0.12" stroke="#3498db" stroke-width="1.5"/>
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+
+  <rect x="30" y="175" width="70" height="28" rx="5" fill="#3498db" opacity="0.12" stroke="#3498db" stroke-width="1.5"/>
+  <text x="65" y="194" fill="#3498db" font-size="11" text-anchor="middle">on</text>
+
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+  <line x1="100" y1="224" x2="130" y2="164" stroke="#555" stroke-width="1" marker-end="url(#w2v-arrow)"/>
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+  <!-- Target word (output) -->
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+  <text x="65" y="80" fill="#666" font-size="9" text-anchor="middle">Context</text>
+  <text x="283" y="135" fill="#666" font-size="9" text-anchor="middle">Target</text>
+
+  <!-- Divider -->
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+
+  <!-- === Skip-gram (right side) === -->
+  <text x="550" y="50" fill="#27ae60" font-size="13" font-weight="bold" text-anchor="middle">Skip-gram</text>
+  <text x="550" y="66" fill="#666" font-size="10" text-anchor="middle">Predict context from target</text>
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+  <!-- Target word (input) -->
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+  <text x="455" y="135" fill="#666" font-size="9" text-anchor="middle">Target</text>
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+
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+  <!-- Context words (output) -->
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+  <text x="655" y="194" fill="#27ae60" font-size="11" text-anchor="middle">on</text>
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+
+  <text x="655" y="80" fill="#666" font-size="9" text-anchor="middle">Context</text>
+
+  <!-- Bottom note -->
+  <text x="360" y="280" fill="#666" font-size="10" text-anchor="middle">Both architectures learn dense word embeddings as a byproduct of prediction.</text>
+  <text x="360" y="296" fill="#666" font-size="10" text-anchor="middle">Skip-gram works better for rare words; CBOW is faster for frequent words.</text>
+</svg>