[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fRy4281J9mgwactyncvI-0PGS2nTzp2x47CZ2xkUoenQ":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":18,"related":19,"source":29,"type":30},[],"2025-04-17 13:31:12",183302118,[8,9,10,11],"具有中心对称性","不需要写成分段形式","单调且任意阶可导","严格大于0",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":16},85,"fc0c1d00e84a5bdd920ca3eef531981e","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ffb47e65ee6bbb8f896e6b4fca1783b07.png","机器学习初步","exam_152425700","对数几率函数作为单位阶跃函数的替代函数的优点是什么",[20,31,40,43,52,61,70,79,88,97],{"answer":21,"createTime":5,"id":22,"options":23,"question":28,"source":29,"type":30},[],183302116,[24,25,26,27],"二次函数","对数函数","指数函数","绝对值函数","对数线性回归是令广义线性模型中的联系函数为什么函数的特例","v1",0,{"answer":32,"createTime":5,"id":33,"options":34,"question":39,"source":29,"type":30},[],183302117,[35,36,37,38],"帮助寻找潜在的概念或者类别","寻找数据内在的分布结构","以上都是","作为其他学习任务的前驱过程","下面哪一项属于聚类的作用",{"answer":41,"createTime":5,"id":6,"options":42,"question":18,"source":29,"type":30},[],[8,9,10,11],{"answer":44,"createTime":5,"id":45,"options":46,"question":51,"source":29,"type":30},[],183302119,[47,48,49,50],"标记","数据","属性","学到的模型","以下哪个选项指的是机器学习中的假设(hypothesis)",{"answer":53,"createTime":5,"id":54,"options":55,"question":60,"source":29,"type":30},[],183302120,[56,57,58,59],"以很低概率得到不好的模型","以很低概率得到很好的模型","以很高概率得到不好的模型","以很高概率得到很好的模型","以下哪个是对概率近似正确(PAC)的正确解释",{"answer":62,"createTime":5,"id":63,"options":64,"question":69,"source":29,"type":30},[],183302121,[65,66,67,68],"汇编语言","智能数据分析","程序设计","硬件","随着机器学习领域的发展,目前主要研究以下哪个领域的理论和方法",{"answer":71,"createTime":5,"id":72,"options":73,"question":78,"source":29,"type":30},[],183302122,[74,75,76,77],"极大似然估计需先假设某种概率分布形式","极大似然估计做了独立同分布假设","极大似然估计的任务是利用训练集估计参数","极大似然估计属于贝叶斯主义","下列说法错误的是()",{"answer":80,"createTime":5,"id":81,"options":82,"question":87,"source":29,"type":30},[],183302123,[83,84,85,86],"经验","实践","规则","专家","机器学习的经典定义是:利用 () 改善系统自身的性能",{"answer":89,"createTime":5,"id":90,"options":91,"question":96,"source":29,"type":30},[],183302124,[92,93,94,95],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fafaa9fa9ff2f6da52f16b46d69dc5b13.png\"> s.t. \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7f63905012e1e3634e0fcd5ad9a65ab3.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fafaa9fa9ff2f6da52f16b46d69dc5b13.png\"> s.t. \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F2980ef4e14453000f32f034176b4d18a.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fafaa9fa9ff2f6da52f16b46d69dc5b13.png\"> s.t. \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F89776c958b6074ee6727eac973a31cb8.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fafaa9fa9ff2f6da52f16b46d69dc5b13.png\"> s.t. \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fb0a596d765f464db3e8898576c009c99.png\">","将样本映射到高维空间后,支持向量机问题的表达式为",{"answer":98,"createTime":5,"id":99,"options":100,"question":105,"source":29,"type":30},[],183302125,[101,102,103,104],"分类","主成分分析","聚类","密度估计","下面哪一项机器学习任务不属于无监督学习"]