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ITI əməkdaşlarının elmi işləri - məqalə |
Biblioqrafik təsvir | Hajirahimova , M.S. A survey on deep learning in big data analytics / M.S. Hajirahimova , A.S. Aliyeva // International scientific journal "industry 4.0". - 2020. - N: vol 5 issue2. - P. 68-71. | Annotasiya | Over the last few years, Deep learning has begun to play an important role in analytics solutions of big data. Deep learning is
one of the most active research fields in machine learning community. It has gained unprecedented achievements in fields such as computer
vision, natural language processing and speech recognition. The ability of deep learning to extract high-level complex abstractions and data
examples, especially unsupervised data from large volume data, makes it attractive a valuable tool for big data analytics. In this paper, we
review the deep learning architectures which can be used for big data processing. Next, we focus on the analysis and discussions about the
challenges and possible solutions of deep learning for big data analytics. Finally, have been outlined several open issues and research trends. | Elektron variant | Elektron variant |
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