Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science

The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity. It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

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Use of data science in the renewable energy resources

Zbornik radova pisanih za 5. Međunarodnu konferenciju o obnovljivim izvorima električne energije ◽

10.24094/mkoiee.017.5.1.263 ◽

2017 ◽

Author(s):

Predrag Stolić ◽

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Danijela Milošević ◽

Zoran Stević ◽

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...

Keyword(s):

Renewable Energy ◽

Data Science ◽

Energy Resources ◽

Renewable Energy Resources ◽

Use Of Data

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About digital transformation of the transport industry in Russia

Scientific notes of the Russian academy of entrepreneurship ◽

10.24182/2073-6258-2020-19-3-95-105 ◽

2020 ◽

Vol 19 (3) ◽

pp. 95-105

Author(s):

Natalia V. Vysotskaya ◽

T. V. Kyrbatskaya

Keyword(s):

Artificial Intelligence ◽

Business Model ◽

Data Science ◽

Digital Transformation ◽

Digital Culture ◽

Blockchain Technology ◽

Community Approach ◽

Non Linear ◽

Transport Industry ◽

Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

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