【摘要】：正近日,Kaggle官網(wǎng)發(fā)布了一份關(guān)于數(shù)據(jù)科學(xué)和機(jī)器學(xué)習(xí)的調(diào)查報(bào)告,通過分析超過16 000份相關(guān)用戶的調(diào)查問卷,給出了數(shù)據(jù)科學(xué)行業(yè)從業(yè)人員的基本概況,在工作中使用比較多的方法以及對初入該行業(yè)的人的建議。該報(bào)告的在線網(wǎng)頁中包括一些交互式可視化圖,用戶可以輕松地找到自己想知道的內(nèi)容。該報(bào)告的主要發(fā)現(xiàn)有:(1)數(shù)據(jù)科學(xué)家的平均年齡在30歲左右,不同國家之間又略有不同。例如,印度受訪者的平均年齡比澳大利亞受訪者要
[Abstract]:Recently, the Kaggle website published a survey report on data science and machine learning. By analyzing more than 16,000 questionnaires from related users, it gave a basic overview of the data science practitioners. Use more methods at work and advice to new entrants. The online pages of the report include interactive visualizations that make it easy for users to find out what they want to know. The main findings of the report are as follows: (1) the average age of data scientists is about 30, and varies slightly from country to country. For example, the average age of Indian respondents was higher than that of Australian respondents
【分類號】：C913.4
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