[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f45V4UjWVYIzPrL1HtOiBbPGy2EYpy7l6nRFZsh4uwnQ":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":27,"type":28},[],"2026-02-01 07:02:23",318040779,[8,9,10,11],"2023年","2022年","2020年","2021年",{"courseId":13,"courseImg":14,"courseName":15},"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","ChatGPT于()推出问世的",[18,29,38,47,56,65,74,83,92,101],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],318040770,[22,23,24,25],"卷积层","激活层","全连接层","池化层","负责形成最终的输出结果","v1",0,{"answer":30,"createTime":5,"id":31,"options":32,"question":37,"source":27,"type":28},[],318040771,[33,34,35,36],"适用于一些不可以用固定参数个数固定的参数集来表示模型的场景","在不同数据上用同一模型训练得到多个基模型并进行组合","可能存在过拟合的问题","可以使用多个不同的K值进行交叉验证来选择最佳K值","以下关于非参数方法叙述错误的是()",{"answer":39,"createTime":5,"id":40,"options":41,"question":46,"source":27,"type":28},[],318040772,[42,43,44,45],"利用测试集完成","以上全部","利用验证集完成","利用训练集完成","对于深度学习模型训练超参数的解决办法是()",{"answer":48,"createTime":5,"id":49,"options":50,"question":55,"source":27,"type":28},[],318040773,[51,52,53,54],"不定距数据","定距数据","连续型数据","离散型数据","不仅能体现定序数据的特点,而且还能准确计算不同数据之前的差距.()",{"answer":57,"createTime":5,"id":58,"options":59,"question":64,"source":27,"type":28},[],318040774,[60,61,62,63],"谓词","动词","量词","主语","用来量化命题中个体或集合的数量叫作()",{"answer":66,"createTime":5,"id":67,"options":68,"question":73,"source":27,"type":28},[],318040775,[69,70,71,72],"半监督学习","弱监督学习","无监督学习","强化学习","利用数据分布上的模型假设建立学习器,对未标签数据进行标签预测,实现对更多数据的标签处理,从而为有监督学习提供基础",{"answer":75,"createTime":5,"id":76,"options":77,"question":82,"source":27,"type":28},[],318040776,[78,79,80,81],"K近邻算法","决策树","线性回归","贝叶斯法则","基于概率论的()已成为现代人工智能方法的基础算法",{"answer":84,"createTime":5,"id":85,"options":86,"question":91,"source":27,"type":28},[],318040777,[87,88,89,90],"信息化","数据化","数智化","数字化","强调利用信息技术和数据资源来改造传统行业",{"answer":93,"createTime":5,"id":94,"options":95,"question":100,"source":27,"type":28},[],318040778,[96,97,98,99],"平均绝对误差数值越小,说明预测精度越高","包括平均绝对误差、均方根误差和R方等方法","R方数值介于0和1之间","均方根误差数值越大,说明预测精度越高","以下关于回归评价指标叙述不正确的是()",{"answer":102,"createTime":5,"id":6,"options":103,"question":16,"source":27,"type":28},[],[8,9,10,11]]