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[
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{
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"title": "机器学习初学者：测验",
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"complete": "恭喜你完成了测验！",
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"error": "抱歉，请再试一次",
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"quizzes": [
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{
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"id": 1,
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"title": "机器学习简介：课前测验",
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"quiz": [
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{
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"questionText": "机器学习的应用无处不在",
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"answerOptions": [
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{
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"answerText": "真",
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"isCorrect": "true"
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},
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{
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"answerText": "假",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "传统机器学习和深度学习的技术差异是什么？",
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"answerOptions": [
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{
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"answerText": "传统机器学习首先被发明",
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"isCorrect": "false"
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},
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{
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"answerText": "使用神经网络",
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"isCorrect": "true"
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},
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{
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"answerText": "深度学习在机器人中使用",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "为什么企业想要使用机器学习策略？",
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"answerOptions": [
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{
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"answerText": "自动化解决多维问题",
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"isCorrect": "false"
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},
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{
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"answerText": "根据客户类型自定义购物体验",
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"isCorrect": "false"
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},
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{
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"answerText": "以上两个都是",
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"isCorrect": "true"
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}
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]
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}
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]
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},
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{
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"id": 2,
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"title": "机器学习简介：课后测验",
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"quiz": [
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{
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"questionText": "机器学习算法旨在模拟",
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"answerOptions": [
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{
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"answerText": "智能机器",
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"isCorrect": "false"
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},
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{
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"answerText": "人脑",
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"isCorrect": "true"
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},
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{
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"answerText": "猩猩",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "传统机器学习技术的一个例子是什么？",
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"answerOptions": [
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{
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"answerText": "自然语言处理",
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"isCorrect": "true"
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},
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{
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"answerText": "深度学习",
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"isCorrect": "false"
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},
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{
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"answerText": "神经网络",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "为什么每个人都应该学习机器学习的基础知识？",
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"answerOptions": [
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{
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"answerText": "学习机器学习有趣且适用于每个人",
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"isCorrect": "false"
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},
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{
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"answerText": "机器学习策略正在许多行业和领域中使用",
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"isCorrect": "false"
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},
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{
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"answerText": "以上两者都是",
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"isCorrect": "true"
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}
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]
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},
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{
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"id": 3,
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"title": "机器学习的历史：课前测验",
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"quiz": [
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{
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"questionText": "大约在什么时候出现了“人工智能”一词？",
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"answerOptions": [
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{
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"answerText": "1980年代",
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"isCorrect": "false"
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},
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{
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"answerText": "1950年代",
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"isCorrect": "true"
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},
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{
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"answerText": "1930年代",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "谁是机器学习的早期先驱之一？",
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"answerOptions": [
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{
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"answerText": "艾伦·图灵",
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"isCorrect": "true"
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},
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{
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"answerText": "比尔·盖茨",
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"isCorrect": "false"
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},
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{
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"answerText": "Shakey 机器人",
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"isCorrect": "false"
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|
}
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]
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},
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{
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"questionText": "导致 1970年代AI发展减缓的原因之一是什么？",
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"answerOptions": [
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{
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"answerText": "计算能力有限",
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"isCorrect": "true"
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},
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{
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"answerText": "缺乏熟练的工程师",
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"isCorrect": "false"
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},
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{
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"answerText": "国家之间的冲突",
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"isCorrect": "false"
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}
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]
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}
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|
]
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|
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},
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{
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"id": 4,
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"title": "机器学习的历史：课后测验",
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"quiz": [
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{
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|
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"questionText": "什么是“杂乱”的AI系统的一个例子？",
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"answerOptions": [
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{
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|
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"answerText": "ELIZA",
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|
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"isCorrect": "true"
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|
|
},
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{
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|
|
"answerText": "HACKML",
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|
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"isCorrect": "false"
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|
|
},
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{
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|
|
"answerText": "SSYSTEM",
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|
|
"isCorrect": "false"
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|
|
}
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|
]
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|
|
}
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]
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|
|
},
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|
{
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|
|
"questionText": "在“黄金年代”期间开发的技术的一个例子是什么？",
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|
|
"answerOptions": [
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|
|
{
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|
|
"answerText": "块世界",
|
|
|
"isCorrect": "true"
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|
|
},
|
|
|
{
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|
|
"answerText": "Jibo",
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|
|
"isCorrect": "false"
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|
|
},
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{
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|
|
"answerText": "机器狗",
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|
|
"isCorrect": "false"
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|
|
}
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|
|
]
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|
|
},
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|
|
{
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|
|
"questionText": "哪个事件对人工智能领域的创立和扩展具有基础性意义？",
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|
|
"answerOptions": [
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{
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"answerText": "图灵测试",
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|
"isCorrect": "false"
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|
|
},
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|
{
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|
|
"answerText": "达特茅斯夏季研究计划",
|
|
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"isCorrect": "true"
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|
|
},
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{
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|
|
"answerText": "AI寒冬",
|
|
|
"isCorrect": "false"
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|
|
}
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|
|
]
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|
|
}
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|
|
]
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|
|
},
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|
{
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|
|
"id": 5,
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|
"title": "公平与机器学习：课前测验",
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"quiz": [
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{
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"questionText": "机器学习中的不公平可以是",
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|
|
"answerOptions": [
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{
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|
"answerText": "有意的",
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"isCorrect": "false"
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|
},
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{
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|
|
"answerText": "无意的",
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|
"isCorrect": "false"
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|
|
},
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{
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|
|
"answerText": "以上两者都有可能",
|
|
|
"isCorrect": "true"
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|
|
}
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|
|
]
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|
|
},
|
|
|
{
|
|
|
"questionText": "ML中的“不公平”一词意味着：",
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|
|
"answerOptions": [
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{
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|
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"answerText": "对一群人造成的伤害",
|
|
|
"isCorrect": "true"
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|
},
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|
{
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|
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"answerText": "对一个人的伤害",
|
|
|
"isCorrect": "false"
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|
|
},
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|
|
{
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|
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"answerText": "对大多数人造成的伤害",
|
|
|
"isCorrect": "false"
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|
|
}
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|
|
]
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|
|
},
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|
|
{
|
|
|
"questionText": "五种主要的危害类型包括",
|
|
|
"answerOptions": [
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|
|
{
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|
|
"answerText": "分配、服务质量、刻板印象、贬低和过度或不足的代表性",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "重定位、服务质量、刻板印象、贬低和过度或不足的代表性",
|
|
|
"isCorrect": "false"
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|
|
},
|
|
|
{
|
|
|
"answerText": "分配、服务质量、立体声效果、贬低和过度或不足的代表性",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
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|
|
]
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|
|
},
|
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|
{
|
|
|
"id": 6,
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|
|
"title": "公平性和机器学习：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "模型中的不公平可能由以下原因导致",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "过度依赖历史数据",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "历史数据过少",
|
|
|
"isCorrect": "false"
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|
|
},
|
|
|
{
|
|
|
"answerText": "过于紧密地与历史数据一致",
|
|
|
"isCorrect": "false"
|
|
|
}
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|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "为减少不公平，可以",
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|
|
"answerOptions": [
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|
|
{
|
|
|
"answerText": "确定伤害和受影响的群体",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "定义公平度量",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两者",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "Fairlearn是一个包，可以",
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|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "使用公平性和性能度量比较多个模型",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "为您的需求选择最佳模型",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "帮助您决定什么是公平的，什么是不公平的",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 7,
|
|
|
"title": "工具和技术：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "建立模型时，您应该：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "准备数据，然后训练模型",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "选择训练方法，然后准备数据",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "调整参数，然后训练模型",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "您的数据的 ___ 将影响您的ML模型的质量",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "数量",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "形状",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两者",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "特征变量是指：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "数据的质量",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "数据的可测属性",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "数据的一行",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 8,
|
|
|
"title": "工具和技术：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "为什么要可视化数据？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "可以发现异常值",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "可以发现偏差的潜在原因",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两个都是",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "将数据分成哪些部分？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "训练集和图灵集",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "训练集和测试集",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "验证集和评估集",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "在各种机器学习库中启动训练过程的常见命令是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "model.travel",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "model.train",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "model.fit",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 9,
|
|
|
"title": "回归入门：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "以下哪个变量是数字变量？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "身高",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "性别",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "头发颜色",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "以下哪个变量是分类变量？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "心率",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "血型",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "体重",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "以下哪个问题是基于回归分析的问题？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "预测学生的期末考试成绩",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "预测一个人的血型",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "预测一封电子邮件是否为垃圾邮件",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 10,
|
|
|
"title": "回归介绍：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "如果您的机器学习模型的训练准确率为95%，测试准确率为30%，那么它被称为什么类型的情况？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "过拟合",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "欠拟合",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "双重拟合",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "从一组特征中识别重要特征的过程被称为：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "特征提取",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "特征降维",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "特征选择",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "使用 Scikit Learn 的 'train_test_split()' 方法/函数将数据集按一定比例划分为训练集和测试集的过程被称为：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "交叉验证",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "保持验证",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "留一验证",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 11,
|
|
|
"title": "为回归分析准备和可视化数据：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "以下哪个Python模块用于绘制数据可视化？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "Numpy",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "Scikit-learn",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "Matplotlib",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "如果你想了解数据集数据点的分布或其他特征，那么应该执行：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "数据可视化",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "数据预处理",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "训练测试分离",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "以下哪个是机器学习项目中数据可视化步骤的一部分？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "结合某种机器学习算法",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "使用不同的绘图方法创建数据的图形表示",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "归一化数据集的值",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 12,
|
|
|
"title": "为回归准备和可视化数据：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "根据本课程，如果您想检查数据集中是否存在缺失值，哪些代码片段是正确的？假设数据集存储在名为“数据集”的变量中，该变量是一个Pandas DataFrame对象。",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "dataset.isnull().sum()",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "findMissing(dataset)",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "sum(null(dataset))",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "当您想了解来自数据集的不同数据点组的分布时，哪些绘图方法很有用？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "散点图",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "折线图",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "条形图",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "数据可视化不能告诉您什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "数据点之间的关系",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "数据集的来源",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "数据集中异常值的存在",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 13,
|
|
|
"title": "线性和多项式回归：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "Matplotlib是一个",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "绘图库",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "数据可视化库",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "借书库",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "线性回归使用以下哪种方式来绘制变量之间的关系？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "直线",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "圆形",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "曲线",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "一个好的线性回归模型具有___相关系数",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "低",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "高",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "平坦",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 14,
|
|
|
"title": "线性和多项式回归: 课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "如果你的数据是非线性的，请尝试使用___类型的回归",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "线性回归",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "球形回归",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "多项式回归",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "这些都是回归方法的类型",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "Falsestep、Ridge、Lasso和Elasticnet",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "Stepwise、Ridge、Lasso和Elasticnet",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "Stepwise、Ridge、Lariat和Elasticnet",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "最小二乘回归意味着围绕回归线的所有数据点都是:",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "平方后减去",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "乘以",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "平方后加起来",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 15,
|
|
|
"title": "逻辑回归：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "使用逻辑回归进行预测",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "苹果是否成熟",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "一个月内能售出多少票",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "明天下午六点天空会变成什么颜色",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "逻辑回归的类型包括",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "多项式和基数",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "多项式和序数",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "主要和序数",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "你的数据相关性较弱。使用最佳的回归类型是：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "逻辑回归",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "线性回归",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "基数回归",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 16,
|
|
|
"title": "逻辑回归：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "Seaborn 是一种",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "数据可视化库",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "地图库",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "数学库",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "混淆矩阵也被称为:",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "误差矩阵",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "真值矩阵",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "准确率矩阵",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "一个好的模型将会拥有:",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "混淆矩阵中大量的假阳性和真阴性",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "混淆矩阵中大量的真阳性和真阴性",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "混淆矩阵中大量的真阳性和假阴性",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 17,
|
|
|
"title": "构建Web应用程序：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "ONNX 代表什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "超级神经网络交换",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "开放神经网络交换",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "输出神经网络交换",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "Flask 如何被其创建者定义？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "迷你框架",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "大型框架",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "微型框架",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "Python 的 Pickle 模块是用来做什么的？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "序列化 Python 对象",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "反序列化 Python 对象",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "序列化和反序列化 Python 对象",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 18,
|
|
|
"title": "构建 Web 应用程序：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "我们可以使用哪些工具来使用 Python 在 Web 上托管预训练模型？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "Flask",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "TensorFlow.js",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "onnx.js",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "SaaS代表什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "作为服务的系统",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "作为服务的软件",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "作为服务的安全",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "Scikit-learn的LabelEncoder库是做什么的？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "按字母表顺序编码数据",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "按数字顺序编码数据",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "按顺序编码数据",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 19,
|
|
|
"title": "分类 1：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "分类是有监督学习的一种形式，与哪种技术有许多共同之处？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "时间序列",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "回归技术",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "自然语言处理",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "分类技术可以回答哪个问题？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "这个邮件是垃圾邮件吗？",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "猪能飞吗？",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "生命的意义是什么？",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "使用分类技术的第一步是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "创建数据集的类别",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "清理和平衡数据",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将数据点分配给组或结果",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 20,
|
|
|
"title": "分类 1: 课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "什么是多类问题?",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "将数据点分类为多个类别的任务",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将数据点分类为多个类别中的一个的任务",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以多种方式清理数据点的任务",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "清除经常出现或无用的数据对于帮助分类器解决问题非常重要。",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "正确",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "错误",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "平衡数据的最好原因是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "不平衡的数据在可视化中看起来不好",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "平衡数据能产生更好的结果，因为机器学习模型不会偏向一个类别",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "平衡数据可以获得更多的数据点",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 21,
|
|
|
"title": "分类 2: 课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "平衡、干净的数据可以产生最佳的分类结果",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "正确",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "错误",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "如何选择正确的分类器？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "了解哪种分类器最适合哪种情况",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "经验性的猜测和检查",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两者",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "分类是一种",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "自然语言处理（NLP）",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "监督学习",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "编程语言",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 22,
|
|
|
"title": "分类 2：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "什么是“求解器”？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "检查您的工作的人",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "在优化问题中使用的算法",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "机器学习技术",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "我们在本课程中使用了哪种分类器？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "逻辑回归",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "决策树",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "一对多多类",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "如何知道分类算法是否按预期工作？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "通过检查其预测的准确性",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "通过与其他算法比较",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "通过查看历史数据，了解此算法在解决类似问题方面的效果如何",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 23,
|
|
|
"title": "分类 3：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "尝试的一个好的初始分类器是:",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "线性 SVC",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "K-Means",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "逻辑 SVC",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "正则化控制:",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "参数的影响",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "训练速度的影响",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "异常值的影响",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "K-最近邻分类器可用于:",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "监督学习",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "无监督学习",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "这两种情况都可以",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 24,
|
|
|
"title": "分类3：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "支持向量分类器可用于",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "分类",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "回归",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上都是",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "随机森林是一种___类型的分类器",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "集成",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "解散",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "装配",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "Adaboost以___而著名：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "专注于错误分类项目的权重",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "专注于异常值",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "专注于不正确的数据",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 25,
|
|
|
"title": "分类4: 课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "推荐系统可能会被用于",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "推荐好餐厅",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "推荐尝试的时尚服装",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上都是",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "在Web应用中嵌入模型有助于它具备离线功能",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "正确",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "错误",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "Onnx Runtime可用于",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "在 Web 应用中运行模型",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "训练模型",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "超参数调整",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 26,
|
|
|
"title": "分类 4：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "Netron应用程序可以帮助您：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "可视化数据",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "可视化模型的结构",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "测试您的 Web 应用程序",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "使用以下哪个工具将Scikit-learn 型转换为Onnx模型：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "sklearn-app",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "sklearn-web",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "sklearn-onnx",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "在Web应用程序中使用模型称为：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "推理",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "干涉",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "保险",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 27,
|
|
|
"title": "聚类介绍：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "聚类的一个实际例子是：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "摆餐具",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "分类洗衣服",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "购物",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "这些行业可以使用聚类技术：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "银行业",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "电子商务",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两者都可以",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "聚类是一种：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "监督学习",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "无监督学习",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "强化学习",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 28,
|
|
|
"title": "聚类介绍：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "欧几里得几何沿着什么排列：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "平面",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "曲线",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "球体",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "你的聚类数据的密度与其什么有关：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "噪音",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "深度",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "有效性",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "最著名的聚类算法是：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "k-means",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "k-middle",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "k-mart",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 29,
|
|
|
"title": "K-Means聚类: 课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "K-Means是源自于哪个领域？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "电气工程",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "信号处理",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "计算语言学",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "一个较高的Silhouette分数表示：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "聚类分离度和聚类定义度高",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "聚类数量较少",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "聚类数量较多",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "方差是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "距离均值的平方差值的平均数",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "如果方差过高，则会影响聚类结果",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两个选项都正确",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 30,
|
|
|
"title": "K-Means聚类: 课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "沃罗诺伊图显示了什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "聚类的方差",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "聚类的质心和其区域",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "聚类的惯性",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "惯性是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "聚类内部的一致性度量",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "聚类的移动度量",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "聚类质量的度量",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "使用K-Means聚类，必须先确定'k'的值。",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "正确",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "错误",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 31,
|
|
|
"title": "自然语言处理简介：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "在这些课程中，NLP代表什么?",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "神经语言处理",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "自然语言处理",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "自然语言学处理",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "Eliza是一个早期的聊天机器人，充当了一个什么样的角色?",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "治疗师",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "医生",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "护士",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "Alan Turing的“图灵测试”试图确定计算机是否",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "无法区分与人类相似",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "思考",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两者皆是",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 32,
|
|
|
"title": "自然语言处理简介：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "Joseph Weizenbaum发明了哪个聊天机器人?",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "Elisha",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "Eliza",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "Eloise",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "对话机器人的输出是基于什么的?",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "随机选择预定义的选项",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "分析输入并使用机器智能",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两者皆是",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "如何让聊天机器人更有效?",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "多问一些问题。",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "通过提供更多的数据并相应地进行训练来提高聊天机器人的效果",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "聊天机器人是笨蛋，它不能学习 :(",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 33,
|
|
|
"title": "自然语言处理任务：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "分词",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "通过标点符号分割文本",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将文本分割成单独的标记（单词）",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将文本分割成短语",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "嵌入",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "将文本数据数字化，以便单词可以聚类",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将单词嵌入短语中",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将句子嵌入段落中",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "词性标注",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "将句子按其词性分割",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "对分词后的单词进行词性标注",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "绘制句子的图表",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 34,
|
|
|
"title": "自然语言处理任务：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "使用以下哪种方法构建单词重复出现频率的字典：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "单词和短语词典",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "单词和短语频率",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "单词和短语库",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "N-gram是指",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "将文本分割成一组特定长度的单词序列",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将单词分割成一组特定长度的字符序列",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将文本分割成一组特定长度的段落",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "情感分析",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "分析一段话的积极或消极情绪",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "分析一段话的情感色彩",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "分析一段话的悲伤程度",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 35,
|
|
|
"title": "自然语言处理和翻译：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "朴素翻译",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "仅翻译单词",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "翻译句子结构",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "翻译情感",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "一个文本语料库指",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "少量的文本",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "大量的文本",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "一个标准的文本",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "如果一个机器学习模型有足够的人类翻译来构建一个模型，那么它可以",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "缩写翻译",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "标准化翻译",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "提高翻译的准确性",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 36,
|
|
|
"title": "自然语言处理和翻译：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "TextBlob翻译库的基础是：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "Google翻译",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "必应",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "一个自定义的机器学习模型",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "要使用'blob.translate'，您需要：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "一个互联网连接",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "一本字典",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "JavaScript",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "要确定情感，机器学习方法是：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "将回归技术应用于手动生成的意见和分数，寻找模式",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将自然语言处理技术应用于手动生成的意见和分数，寻找模式",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将聚类技术应用于手动生成的意见和分数，寻找模式",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 37,
|
|
|
"title": "自然语言处理 4: 课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "人类写下或说出的文本可以提供什么信息？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "模式和频率",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "情感和意义",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两者",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "什么是情感分析？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "研究家庭传家宝是否有情感价值的一种方法",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "系统地识别、提取、量化和研究情感状态和主观信息的方法",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "判断某人是悲伤还是快乐的能力",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "使用酒店评论数据集、Python和情感分析可以回答什么问题？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "评论中最常用的词和短语是什么？",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "哪个度假村的游泳池最好？",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "这家酒店是否提供代客停车服务？",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 38,
|
|
|
"title": "自然语言处理4: 课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "自然语言处理的本质是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "将人类语言分类为快乐或悲伤",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "解释意义或情感，而无需人为干预",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "找到情感的异常值并进行检查",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "在清理数据时，您可能会查找哪些内容？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "其他语言中的字符",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "空白行或列",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两者",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "在对数据执行操作之前，了解数据及其怪癖很重要。",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "正确",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "错误",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 39,
|
|
|
"title": "自然语言处理5：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "为什么在分析数据之前清洗数据很重要？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "一些列可能缺少或包含不正确的数据",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "杂乱的数据可能会导致关于数据集的错误结论",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两种情况都是",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "清洗数据的策略示例是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "删除不适用于回答特定问题的列/行",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "摆脱与假设不符的经过验证的值",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将异常值移动到单独的表中，并运行该表的计算以查看它们是否匹配",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "使用标签列对数据进行分类可能很有用。",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "正确",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "错误",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 40,
|
|
|
"title": "自然语言处理5: 课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "数据集的目标是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "查看全球酒店的积极和消极评价数量",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "添加情感和列，以帮助您选择最佳酒店",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "分析为什么人们会留下特定的评价",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "什么是停用词？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "不改变句子情感的常见英语单词",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "可以删除以加快情感分析的单词",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两者皆是",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "为了测试情感分析，必须确保其与同一评价的评论者得分相匹配。",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "正确",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "错误",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 41,
|
|
|
"title": "时间序列简介：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "时间序列预测在以下方面有用：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "确定未来成本",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "预测未来价格",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上两种情况",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "时间序列是一系列在以下哪些时间点上获取的序列？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "空间中连续等间隔点",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "时间中连续等间隔点",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "空间和时间中连续等间隔点",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "时间序列可以用于以下哪些方面？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "地震预测",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "计算机视觉",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "颜色分析",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 42,
|
|
|
"title": "时间序列简介：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "时间序列趋势是指：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "随时间可测量的增长和减少",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "时间上量化的减少",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "时间上增长和减少之间的间隙",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "异常值是指：",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "接近标准数据方差的点",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "远离标准数据方差的点",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "在标准数据方差范围内的点",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "时间序列预测对于以下哪个领域最有用？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "计量经济学",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "历史学",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "图书馆",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 43,
|
|
|
"title": "时间序列ARIMA: 课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "ARIMA代表什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "自回归积分移动平均",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "自回归积分移动操作",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "自回归积分移动平均",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "平稳性是指",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "数据在时间上移动时其属性不变",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "数据在时间上移动时其分布不变",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "数据在时间上移动时其分布发生变化",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "差分",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "稳定趋势和季节性",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "加剧趋势和季节性",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "消除趋势和季节性",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 44,
|
|
|
"title": "时间序列 ARIMA：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "ARIMA 用于使模型适合时间序列数据的特殊形式",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "尽可能平坦",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "尽可能贴近",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "通过散点图",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "使用SARIMAX来",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "管理季节性 ARIMA 模型",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "管理特殊 ARIMA 模型",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "管理统计 ARIMA 模型",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "“向前走”验证涉及",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "逐步重新评估验证的模型",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "逐步重新训练验证的模型",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "逐步重新配置验证的模型",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 45,
|
|
|
"title": "强化学习1：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "什么是强化学习？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "反复教导某人某事直到他们理解为止的学习技巧",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "一种学习技术，通过运行许多实验来解释某种环境中代理的最佳行为",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "了解如何同时运行多个实验的技巧",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "什么是策略？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "返回任何给定状态的动作的函数",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "告诉你是否可以退货的文件",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "用于随机目的的函数",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "奖励函数返回环境中每个状态的分数。",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "正确",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "错误",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 46,
|
|
|
"title": "强化学习1：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "什么是Q-Learning？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "记录每个状态的“好”程度的机制",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "一种策略由Q-表定义的算法",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "以上都是",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "Q-表对应于随机行走策略的哪些值？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "所有相等的值",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "-0.25",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "所有不同的值",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "在我们的课程中，学习过程中使用探索比开发更好。",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "正确",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "错误",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 47,
|
|
|
"title": "强化学习 2：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "国际象棋和围棋是具有连续状态的游戏。",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "正确",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "错误",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "什么是 CartPole 问题？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "一种排除异常值的过程",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "一种优化购物车的方法",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "平衡的简化版本",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "我们可以使用哪个工具来模拟游戏中潜在状态的不同情况？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "猜测和检查",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "模拟环境",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "状态转换测试",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 48,
|
|
|
"title": "强化学习2：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "我们在环境中哪里定义了所有可能的动作？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "方法",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "动作空间",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "动作列表",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "我们使用哪对作为字典键值对？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "(状态，动作) 作为键，Q表条目作为值",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "状态作为键，动作作为值",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "qvalues函数的值作为键，动作作为值",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "我们在Q学习期间使用的超参数是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "q表值，当前奖励，随机动作",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "学习率，折扣因子，探索/开发因子",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "累积奖励，学习率，探索因子",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 49,
|
|
|
"title": "真实世界的应用：课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "金融行业中的机器学习应用示例是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "使用自然语言处理个性化客户旅程",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "使用线性回归进行财富管理",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "使用时间序列进行能源管理",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "医院可以使用哪种机器学习技术来管理再次入院？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "聚类",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "时间序列",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "自然语言处理",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "时间序列在能源管理中的应用示例是什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "动物运动检测",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "智能停车计费系统",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "追踪森林火灾",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 50,
|
|
|
"title": "实际应用：课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "哪种机器学习技术可以用于检测信用卡欺诈？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "回归",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "聚类",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "自然语言处理",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "森林管理中展示了哪种机器学习技术？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "强化学习",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "时间序列",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "自然语言处理",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "在医疗保健行业中，哪种是机器学习应用的例子？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "使用回归预测学生行为",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "使用分类器管理临床试验",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "使用分类器检测动物的运动",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 51,
|
|
|
"title": "时间序列SVR: 课前测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "SVM 代表什么？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "统计向量机",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "支持向量机",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "统计向量模型",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "以下哪种机器学习技术用于预测连续值？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "聚类",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "分类",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "回归",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "以下哪个模型通常用于时间序列预测？",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "ARIMA",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "K-Means聚类",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "逻辑回归",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"id": 52,
|
|
|
"title": "时间序列 SVR: 课后测验",
|
|
|
"quiz": [
|
|
|
{
|
|
|
"questionText": "SVR 通过哪些方法学习?",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "寻找具有最大数据点的最佳拟合超平面",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "学习数据集的概率分布",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "在数据集中找到聚类",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "SVM 中核函数的目的是什么?",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "衡量模型预测的准确性",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "将数据集转换到更高的维度空间",
|
|
|
"isCorrect": "true"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "标准化数据集的值",
|
|
|
"isCorrect": "false"
|
|
|
}
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
"questionText": "哪种模型考虑数据集的非线性?",
|
|
|
"answerOptions": [
|
|
|
{
|
|
|
"answerText": "简单线性回归",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "ARIMA",
|
|
|
"isCorrect": "false"
|
|
|
},
|
|
|
{
|
|
|
"answerText": "使用 RBF 核的 SVR",
|
|
|
"isCorrect": "true"
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
]
|
|
|
}
|
|
|
] |
