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        <dc:date>2025-07-07T14:12:33+00:00</dc:date>
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        <title>20 questions to detect fake data scientists</title>
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        <description>20 questions to detect fake data scientists

data_analysis 분석

&lt;http://www.kdnuggets.com/2016/01/20-questions-to-detect-fake-data-scientists.html/2&gt;

	*  Explain what regularization is and why it is useful.
	*  Which data scientists do you admire most? which startups?
	*  How would you validate a model you created to generate a predictive model of a quantitative outcome variable using multiple regression.</description>
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        <dc:date>2026-07-09T06:19:14+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>AI와 일자리</title>
        <link>https://www.triviaz.net/data_analysis:data_mind:ai_career?rev=1783577954&amp;do=diff</link>
        <description>AI와 일자리

data_analysis 인공지능 일자리 커리어

Data Analysis Application

	*  AI에게 더 맡길수록, 덜 두려워 하게 된다
		*  일을 통째로 넘겨본 사람은 AI가 혼자서 무엇을 끝낼 수 있고 어디서 막히는지를 직접 보고 알 수 있다는 것입니다. 그래서 AI에 대해 막연한 공포 대신 구체적인 감각을 갖게 됩니다.</description>
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        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>직장에서 p-value 설명하는 법</title>
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        <description>직장에서 p-value 설명하는 법

data_analysis 분석 업무

&lt;http://m.cafe.daum.net/statsas/3po1/46?q=D_eF5yOc-3v-s0&amp;svc=sns&amp;&gt;

통계보다는 말빨!

	*  직장 동료가 물어올 때

동료 : 야, 근데 여기 p가 0.01보다 작다라는 말이 뭐냐?  
나 : 아, 그거? (귀찮으니까) 나도 잘 몰라. 그런거 있나 보더라…</description>
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