[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f2aAezIUjMMQYXnGrLUAlcK8n1rFkFboc4Ng9ZraChzc":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2025-03-28 09:25:35",180570223,[8,9,10,11],"所有"问题"难度不同","所有"问题"出现的机会服从任意分布","所有"问题"出现的机会不相同","所有"问题"出现的机会相同",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},48,"fc0c1d00e84a5bdd920ca3eef531981e","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ffb47e65ee6bbb8f896e6b4fca1783b07.png","机器学习初步","work_42260463","机器学习初步课程作业","以下哪个选项是NFL定理的重要前提",[21,32,41,50,57,60,69,78,87,96],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],180570219,[25,26,27,28],"经验","专家","规则","实践","机器学习的经典定义是:利用 () 改善系统自身的性能","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],180570220,[36,37,38,39],"6","8","10","30","Cornell等大学的学者对82幅梵高真迹和()幅赝品进行自动分析",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],180570221,[45,46,47,48],"属性","标记","数据","学到的模型","以下哪个选项指的是机器学习中的假设(hypothesis)",{"answer":51,"createTime":5,"id":52,"options":53,"question":56,"source":30,"type":31},[],180570222,[47,54,46,55],"某种类型假设","运行速度","归纳偏好指机器学习算法在学习过程中,对以下哪个选项的偏好",{"answer":58,"createTime":5,"id":6,"options":59,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":61,"createTime":5,"id":62,"options":63,"question":68,"source":30,"type":31},[],180570224,[64,65,66,67],"所有机器学习问题问题出现的机会相同","机器学习算法需要数据","一个算法a若在某些问题上比另一个算法b好,必存在另一些问题没算法b好","一个算法a若在某些问题上比另一个算法b好,a一定比b需要更多数据","以下哪种说法描述了NFL定理",{"answer":70,"createTime":5,"id":71,"options":72,"question":77,"source":30,"type":31},[],180570225,[73,74,75,76],"泛化能力","建模能力","学习能力","拟合能力","模型在未见样本上表现好, 这一能力通常被称作模型的什么能力",{"answer":79,"createTime":5,"id":80,"options":81,"question":86,"source":30,"type":31},[],180570226,[82,83,84,85],"泛化误差","经验误差","学习误差","训练误差","模型在"未来"样本上的误差被称作()",{"answer":88,"createTime":5,"id":89,"options":90,"question":95,"source":30,"type":31},[],180570227,[91,92,93,94],"评估方法","性能度量","比较检验","以上三个选项都不需要考虑","为了说明模型在统计意义上表现好, 我们最需要考虑",{"answer":97,"createTime":5,"id":98,"options":99,"question":104,"source":30,"type":31},[],180570228,[100,101,102,103],"训练集;需要","训练集;不需要","验证集;需要","验证集;不需要","我们通常将数据集划分为训练集,验证集和测试集进行模型的训练,参数的验证需要在()上进行,参数确定后()重新训练模型"]