[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fKhVclejQvQLyIdDta8mzieUxwq8m5fggLA5yb05mCV0":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2024-11-25 09:30:59",167330752,[8,9,10,11],"图像","序列","无序集合","固定长度向量",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},49,"bbf44a8a687a3f0eeaabe020b4ce82bd","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F48eba3395437dd881b1b9275a0ad1028.png","大数据分析与挖掘","exam_137149363","自测202411192059","循环神经网络(RNN)主要用于处理( )类型的数据",[21,32,35,44,53,62,71,80,89,98],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],167330751,[25,26,27,28],"分类","回归","递归","调用","支持向量机是一种对线性和非线性数据进行什么的方法","v1",0,{"answer":33,"createTime":5,"id":6,"options":34,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":36,"createTime":5,"id":37,"options":38,"question":43,"source":30,"type":31},[],167330753,[39,40,41,42],"在当前图形中添加x轴名称,可以指定位置、颜色、字体大小等参数","在当前图形中添加y轴名称,可以指定位置、颜色、字体大小等参数","指定当前图形x轴的范围,只能确定一个数值区间,而无法使用字符串标识","在当前图形中添加标题,可以指定标题的名称、位置、颜色、字体大小等参数","plt.title函数的作用是",{"answer":45,"createTime":5,"id":46,"options":47,"question":52,"source":30,"type":31},[],167330754,[48,49,50,51],"类中心数量达到K","类中心向量不再变化","样本全部分配完毕","计算距离次数足够多","K-均值聚类算法何时停止迭代",{"answer":54,"createTime":5,"id":55,"options":56,"question":61,"source":30,"type":31},[],167330755,[57,58,59,60],"arr = np.array([1, 2, 3])","arr = np.array([[1, 2, 3], [4, 5, 6]])","arr = np.array([[1, 2], [3, 4]])","np.ones((3, 3))","下面选项中,创建的是3行3列数组的是( )",{"answer":63,"createTime":5,"id":64,"options":65,"question":70,"source":30,"type":31},[],167330756,[66,67,68,69],"增加直方图的bin数量,使灰度级划分更细致","设置合适的颜色映射,让灰度直方图颜色更协调","调整直方图的透明度,使不同灰度级之间的重叠关系更清晰","扩大直方图的图形尺寸,使细节更易观察","在使用Matplotlib优化灰度直方图的操作中,以下哪一个步骤对于增强直方图的可视化效果最关键?( )",{"answer":72,"createTime":5,"id":73,"options":74,"question":79,"source":30,"type":31},[],167330757,[75,76,77,78],"[14]","[25]","[14,25]","[20,25]","arr_2d = np.array([[11, 20, 13],[14, 25, 16],[27, 18, 9]]),print(arr_2d[1, :2]),执行上述程序后,最终输出的结果为",{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":30,"type":31},[],167330758,[84,85,86,87],"创建索引时若没有为数据指定索引,默认会创建一个 1~N(N 为数据长度)的整数型索弓","可以通过 Series 的index 属性获取索引","可以通过索引的方式选取 Series 中的单个或一组值","Series 的字符串表现形式为索引在左边,值在右边","下列说法不正确的是()",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":30,"type":31},[],167330759,[93,94,95,96],"学习、计算","学习、预测","预测、分析","分析、计算","回归算法的实现分为()和()",{"answer":99,"createTime":5,"id":100,"options":101,"question":106,"source":30,"type":31},[],167330760,[102,103,104,105],"选择","结果","过程","目的","核函数的唯一性会影响会影响机器学习算法的性能和什么"]