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Bad Data 技術手冊
book

Bad Data 技術手冊

by Q. Ethan McCallum
September 2013
Intermediate to advanced
264 pages
5h
Chinese
GoTop Information, Inc.
Content preview from Bad Data 技術手冊
回應問題
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201
描述問題
除了單純提供檔案,我需要解釋這個競賽的目的,以及為什麼它值得參加。身為一個拮
据的新創公司,我們只能夠負擔五千美金的獎金,而我們需要在三週內就有結果,所以
我需要盡可能的使用敘述文字來給予參賽者動機參加!就目前看來,人們似乎很樂於參
加不尋常短長度的比賽。敘述文字在解釋資料代表什麼時也很有用。理論上來說,機器
學習不需要知道任何在表中的數字代表什麼,但實際上,選擇要套用什麼技術以及要專
注於什麼模式都是門藝術,而知道資料是關於什麼則有助於選擇。最終,我撰寫了一篇
文章討論我們所遇到的問題,而這似乎是非常有效的。在文章裡面包含一張小的熱帶海
灘照片也似乎頗有用!
理論上來說,一個機器學習專家能夠將你的問題視為純數字的問題來處理。實際上,建
立好的演算法需要許多的判斷以及直覺,所以給他們一些關於你的領域的教育是很值得
的。多數的資料集合擁有許多不同的特徵值,而它幫助我們知道在真實世界中是用來代
表哪些性質,所以你能夠調整你的演算法,讓其專注於擁有較好預測能力的特徵值上。
回應問題
當我們上線時,我持續關注 Kaggle 討論區,並且嘗試回答他們詢問的問題。這實在是
有些困難,因為其他社群成員或是 Kaggle 員工通常都會在我之前就回答了!看到每個
人對於問題有多熱心就讓人非常興奮。最終,這個三週的比賽帶給我不多的工作量,儘
管我知道這是因為參賽者是非常忙碌的。
這個資料競賽的方式,跟傳統的外包專案相比,讓我們學習到了不同的經驗。所有事前
的準備步驟都是在為參賽者建立一個極度良好定義的問題,而在我們這邊,不能中途更 ...
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Publisher Resources

ISBN: 9789862768952