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新增 2021「机器学习概论」试题回忆版,本试题由 2019 级同学匿名提供
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## 考试范围 | ||
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学习、变形空间、归纳偏置、熵、条件独立性 | ||
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特征子集的向前搜索算法 | ||
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决策树后修剪、后验概率计算公式 | ||
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消极学习与积极学习差异 | ||
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如何用线性判别函数解决多类决策问题? | ||
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K-均值算法 | ||
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补充候选消除算法 | ||
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林素贝叶斯 | ||
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计算熵、信息增益 | ||
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感知器定义 | ||
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delta 法则推导 | ||
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遗传算法 | ||
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> 本**回忆版**试卷由 2019 级同学匿名提供,仅供参考! |