只懂機器學習就 OUT 了,下一代數據科學家得是“全棧型“

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"blockquote","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"人人都在談論數據科學,沒有人真正知道如何去做,每個人都認爲別人在做,所以所有人都聲稱自己在做數據科學。"}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","marks":[{"type":"italic"},{"type":"strong"}],"text":"本文最初發表於 Towards Data Science 博客,經原作者 Jay Kachhadia 授權,InfoQ 中文站翻譯並分享。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"本文探討了成爲一名機器學習數據科學家需要具備的條件,以跟上行業不斷變化的需求。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"多年來,對於擁有計算機科學、統計學、商業分析、工程管理、物理學、數學或數據科學學士、碩士或博士學位的年輕人而言,數據科學一直是他們的目標。然而,人們對於數據科學有很多誤解。這已經不僅僅是機器學習和統計學了。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"這些年來,我已經與許多有志於數據科學領域的人討論過要進入這個領域的想法。爲什麼數據科學如此火爆?或者統計學和機器學習能幫助你進入這個領域嗎?它還會是未來嗎?"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"即使我和你們都在同一條船上,但我現在正在體驗到,目前對於下一代數據科學家進入這一領域的需求是如何形成的。我並不會教你如何進入數據科學領域,因爲在互聯網上,已經有很多人這樣做了。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"爲什麼數據科學如此火爆?"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}}]}
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