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@ -34,17 +34,17 @@
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]
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},
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{
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"questionText": "為什麼企業可能想要使用 ML 策略？",
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"questionText": "为什么企业可能想要使用 ML 策略？",
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"answerOptions": [{
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"answerText": "自動解決多維問題",
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"answerText": "自动解决多维问题",
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"isCorrect": "false"
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},
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{
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"answerText": "定制根據客戶的類型的購物體驗",
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"answerText": "根据客户类型定制购物体验",
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"isCorrect": "false"
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},
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{
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"answerText": "以上兩者",
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"answerText": "以上两者",
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"isCorrect": "true"
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}
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]
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@ -53,15 +53,15 @@
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},
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{
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"id": 2,
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"title": "機器學習簡介：課後測驗",
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"title": "机器学习简介：课后测验",
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"quiz": [{
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"questionText": "機器學習算法是為了模擬",
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"questionText": "机器学习算法旨在模拟",
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"answerOptions": [{
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"answerText": "智能機器",
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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": "人腦",
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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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@ -71,33 +71,33 @@
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]
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},
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{
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"questionText": "什麼是經典 ML 技術的示例？",
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"questionText": "什么是经典 ML 技术的示例？",
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"answerOptions": [{
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"answerText": "自然語言處理",
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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": "深度學習",
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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": "神經網絡",
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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": "為什麼每個人都應該學習機器學習的基礎知識？",
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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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"answerText": "學習ML的樂趣和方便大家",
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"answerText": "学习机器学习很有趣，每个人都可以使用",
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"isCorrect": "false"
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},
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{
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"answerText": "ML策略在許多行業和領域被使用",
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"answerText": "许多行业和领域都在使用 ML 策略",
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"isCorrect": "false"
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},
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{
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"answerText": "以上兩者",
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"answerText": "以上两者",
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"isCorrect": "true"
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}
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]
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@ -106,35 +106,35 @@
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},
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{
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"id": 3,
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"title": "預講座測驗：機器學習的歷史",
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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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"questionText": "“人工智能”這個詞是什麼時候創造的？",
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"questionText": "““人工智能”这个词大概是什么时候出现的？",
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"answerOptions": [{
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"answerText": "1980年代",
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"answerText": "1980s",
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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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"answerText": "1950s",
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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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"answerText": "1930s",
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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": "誰是機器學習的早期先驅之一？",
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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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"answerText": "阿蘭·圖靈",
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"answerText": "阿兰·图灵",
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"isCorrect": "true"
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},
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{
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"answerText": "比爾蓋茨",
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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": "摇晃机器人",
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"answerText": "沙基 机器人",
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"isCorrect": "false"
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}
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]
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@ -256,7 +256,7 @@
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"isCorrect": "false"
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},
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{
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"answerText": "分配，服务，Stereophonics的，弄黑，和过度或不足表示的质量 ",
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"answerText": "allocation, quality of service, stereophonics, denigration, and over- or under- representation ",
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"isCorrect": "false"
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}
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]
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@ -407,7 +407,7 @@
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{
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"questionText": "一个常见的命令来启动训练过程中各种ML库是：",
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"answerOptions": [{
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"answerText": "",
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"answerText": "model.travel",
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"isCorrect": "false"
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},
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{
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@ -534,11 +534,11 @@
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"quiz": [{
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"questionText": "以下哪个 Python 模块用于绘制数据的可视化？",
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"answerOptions": [{
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"answerText": "NumPy的",
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"answerText": "NumPy",
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"isCorrect": "false"
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},
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{
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"answerText": "Scikit-学习",
|
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"answerText": "Scikit-Learn",
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"isCorrect": "false"
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},
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{
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Mansi Jain
4 years ago