Significance of deep learning on big data analytics

被引:0
|
作者
Mao, Jilei [1 ]
Mao, Zijun [2 ]
机构
[1] Wuhan Univ Technol, Wuhan, Hubei, Peoples R China
[2] Capital Univ Econ & Business, Beijing, Peoples R China
关键词
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Deep learning and big data analytics are two high foci of data science. With the huge volumes of data available today, big data brings us more opportunities and transformative potential; it also brings unprecedented challenges to address data and information. The data are too large to be analyzed using the traditional technology. Therefore, deep learning algorithm is becoming an important department in providing big data analytics a new way to get predictive analytics solutions. Deep learning gives us an important opportunity for completing neural network algorithms and models to deal with analytics problems related to big data compared with the traditional technology used to deal with data analytics problems.
引用
收藏
页码:1597 / 1600
页数:4
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