[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f4Dh9L5pZkLgoktALTCcsOlkK7slI3TPY8TPf3zb3lpI":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":27,"type":28},[],"2026-05-14 09:10:44",371286903,[8,9,10,11],"surprise.Dataset.split ()(仅用于生成训练集 \u002F 测试集,无调参功能)","手动遍历参数组合(效率低,且无法保证交叉验证的可靠性)","sklearn.model_selection.train_test_split(仅用于数据划分,无法实现参数调优)","surprise.model_selection.GridSearchCV(通过网格搜索遍历参数组合,结合交叉验证选择最优参数)",{"courseId":13,"courseImg":14,"courseName":15},"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","使用 Surprise 库对 KNNBaseline 模型进行超参数调优时,核心需使用的工具是( )",[18,29,32,41,50,59,68,77,86,95],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],371286902,[22,23,24,25],"仅负责海报印刷输出,不参与设计创作环节","仅提供空白画布,需设计师手动完成所有元素绘制与排版","仅固定模板生成,无法修改文字、色彩等核心元素","通过 AI 输入主题(如节日促销)、风格(如国潮、极简),自动生成多套海报版式与元素组合,设计师再优化调整","在视觉传达设计领域,人工智能在 &quot;海报设计&quot; 场景中的核心应用方式是( )","v1",0,{"answer":30,"createTime":5,"id":6,"options":31,"question":16,"source":27,"type":28},[],[8,9,10,11],{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":27,"type":28},[],371286904,[36,37,38,39],"代码解释+图像生成","深度思考+联网搜索","深度思考+离线模式","语音输入+文档导出","在使用DeepSeek生成商业计划书框架时,为确保市场分析部分有真实数据支撑,应同时启用以下哪两项功能?()",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":27,"type":28},[],371286905,[45,46,47,48],"电影的票房数据,票房越高与其他电影相似度越高","电影的导演、演员等内容特征,与用户行为无关","用户对电影的交互行为(如共同评分、共同观看),如同时给电影 A 和电影 B 打高分的用户越多,A 与 B 相似度越高","电影的上映年份,年份越接近相似度越高","电影推荐的 &quot;基于物品的协同过滤(Item-Based CF)&quot; 算法中,计算电影相似度的核心依据是( )",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":27,"type":28},[],371286906,[54,55,56,57],"人工智能是指计算机能够像人类一样进行自主思考的技术","人工智能是研究、开发用于模拟、延伸和扩展人的智能的理论、方法、技术及应用系统的一门新的技术科学","人工智能仅指机器人按照预设程序完成人类指令的技术","人工智能是能让计算机具有情感和意识,实现完全类人行为的技术","下列关于人工智能(AI)的定义,最准确且全面的是( )",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":27,"type":28},[],371286907,[63,64,65,66],"减少回答的准确性","使回答更加聚焦商品并得到更详细的描述","生成更简短的文案","仅适用于手机类商品","优化后的提示词相比初始提示词,在获取智能手表商品描述时的主要优势是?()",{"answer":69,"createTime":5,"id":70,"options":71,"question":76,"source":27,"type":28},[],371286908,[72,73,74,75],"传统固定电话","有线广播系统","5G通信","普通台式计算机","以下哪项属于新一代信息技术的典型代表?()",{"answer":78,"createTime":5,"id":79,"options":80,"question":85,"source":27,"type":28},[],371286909,[81,82,83,84],"忽略缺失值,直接将该字段排除在模型输入特征之外","用 0 填充所有缺失值,简化处理流程","采用该字段的中位数填充(避免均值受极端值影响),同时记录填充比例,评估对后续模型的影响","直接删除含缺失值的整条流量数据,不考虑数据量损失","网络流量异常检测的 &quot;Python 数据预处理&quot; 环节中,对 &quot;缺失的数据包长度字段&quot; 处理的核心操作是( )",{"answer":87,"createTime":5,"id":88,"options":89,"question":94,"source":27,"type":28},[],371286910,[90,91,92,93],"AIGC 内容运营平台、行业解决方案提供商","文本生成、图像创作等 AIGC 应用产品","大语言模型(LLM)、扩散模型等核心算法","AI 芯片(如 GPU、TPU)、高质量训练数据集、开发框架","在 AIGC(生成式人工智能)产业生态的层级划分中,为 AIGC 技术提供算力支撑、数据基础与底层工具的 &quot;基础层&quot;,其核心组成部分是( )",{"answer":96,"createTime":5,"id":97,"options":98,"question":103,"source":27,"type":28},[],371286911,[99,100,101,102],"提前手动下载 MovieLens 数据集压缩包并解压","等待函数自动下载并解析数据集,生成 Surprise 兼容的 Dataset 对象","通过 Dataset.split () 将加载的数据集划分为训练集与测试集","调用 surprise.Dataset.load_builtin () 函数指定数据集版本(如 'ml-100k')","在人工智能电影推荐中,加载 Surprise 库内置的 MovieLens 数据集时,无需执行的操作是( )"]