Google and their new product / Part 2

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Sep 19, 2018 17:03 英文挑戰日記
I almost popped my clogs for rewriting this entry. This’s from an article written by LYNN. It’s so long so that I separated it to 3 parts.
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In general, there’s some difficulties and problems in practice while machine learning is introducing into an enterprise. For instance, there’s huge imbalance in supply and demand market of senior professional database scientist. Therefore, it’s even more difficult to SME(Small and Medium Enterprise Administration), because even they found someone they need eventually, they can’t afford it.

There’s few team like large enterprise who has deep pocket to afford a sumptuous team of database scientists who have PhD and deserve millions of annual salary.
●我寫到快死掉了 \ \>血<" 這是改寫自LYNN的文章,因為很長,所以我寫成三篇日記。

一般來說,機器學習在實際引入企業時容易面臨到的一些困境,像是經驗豐富的專業資料科學家相對於龐大的企業徵才來說,供不應求的情況相當嚴重;以及,對於中小企業而言,很少團隊有能力與預算能如同大企業一樣,所以就算找得到人,聘請數十位年薪高達千萬的博士學位機器學習人才,來組建一支昂貴的資料科學團隊對中小企業來說是非常困難的。

(文章出處:https://kopu.chat/2018/08/02/google-automl/ 作者: LYNN 2018-08-02)