[{"data":1,"prerenderedAt":46},["ShallowReactive",2],{"q-fintech-22-007":3},{"exam":4,"examName":5,"chapterSlug":6,"question":7,"related":22},"fintech","金融科技力知識檢定","c4",{"id":8,"exam":4,"session":9,"qno":10,"question":11,"options":12,"answer":17,"chapter":18,"freq":19,"explanation":20,"difficulty":21},"fintech-22-007","22",7,"「機器學習」的四大步驟中，下列何者是最後一步？",[13,14,15,16],"收集","分析","建模","預測",3,"人工智慧",1,"機器學習的流程可概括為收集、分析、建模、預測四大步驟:先收集大量資料,再清理並分析資料特徵,接著選擇演算法以資料訓練出模型,最後把模型套用在新資料上進行預測或分類,產出可供決策的結果,故最後一步為 (D) 預測。(A) 收集是整個流程的起點,沒有資料就無從學習;(B) 分析位於第二步,負責處理與理解資料;(C) 建模是第三步的訓練階段,完成後才能進入預測,因此三者都不是最後一步。","easy",[23,27,30,34,38,42],{"id":24,"question":25,"qno":26},"fintech-19-006","1980 年代人工智慧發展出的專家系統(Expert System)把取自專家的資訊彙編成一組規則，這些規則往往以「若...則...」結構呈現，稱為下列何種規則？",6,{"id":28,"question":29,"qno":10},"fintech-19-007","下列何種技術可以讓電腦模仿人類大腦的運算，讓電腦像人一樣思考？",{"id":31,"question":32,"qno":33},"fintech-19-008","有關機器學習訓練與預測的敘述，下列何者錯誤？",8,{"id":35,"question":36,"qno":37},"fintech-19-036","下列何種機器學習是所有資料都沒有標註，機器透過尋找資料的特徵，自己進行分類？",36,{"id":39,"question":40,"qno":41},"fintech-19-040","人工智慧使用運算晶片如 GPU，未來運用在特定人工智慧特定應用領域的專用晶片，稱為下列何者？",40,{"id":43,"question":44,"qno":45},"fintech-19-044","有關 2023 年推出新一代的語言模型 GPT-4 屬性之敘述，下列何者正確？",44,1793070565957]