https://terms-en.ai-term-hub.com/zh/tags/taxonomy/Recent content in Taxonomy on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/outline_of_machine_learning/Sat, 18 Jul 2026 11:29:02 +0000https://terms-en.ai-term-hub.com/zh/terms/outline_of_machine_learning/<h2 id="definition">Definition</h2> <p>该术语描述了机器学习的结构化分类，分为监督学习、无监督学习、半监督学习和强化学习。它包括核心算法族，如线性回归、决策树和支持向量机，并涵盖模型评估的关键指标。</p> <h3 id="summary">Summary</h3> <p>对机器学习范式、算法和评估指标的综合分类。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>监督学习</li> <li>无监督学习</li> <li>强化学习</li> <li>模型评估</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>算法选择指南</li> <li>数据科学工作流规划</li> <li>学术分类体系构建</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0-deep-learning/">深度学习 (Deep Learning)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E7%BB%9F%E8%AE%A1%E5%AD%A6%E4%B9%A0-statistical-learning/">统计学习 (Statistical Learning)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B-feature-engineering/">特征工程 (Feature Engineering)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/%E4%BA%A4%E5%8F%89%E9%AA%8C%E8%AF%81-cross-validation/">交叉验证 (Cross-Validation)</a></li> </ul>