Paper Title
Framework to build and analyze data science with Artificial Intelligence
Article Identifiers
Authors
S Saravanakumar
Keywords
AI(Artificial Intelligence), ML(Machine Learning), Augment, Data
Abstract
Artificial intelligence (AI) is truly a revolutionary feat of computer science, set to become a core component of all modern software over the coming years and decades. It enables us in acquiring technical skills to perform data processing, analysis and visualization in multiple real-time applications. Artificial intelligence tools and techniques, including problem-solving, knowledge representation, Machine Learning(ML), computer vision, human-computer interactions and information diffusion. This presents a threat but also an opportunity. AI will be deployed to augment both defensive and offensive cyber operations. Additionally, new means of cyber attack will be invented to take advantage of the particular weaknesses of AI technology. Finally, the importance of data will be amplified by AI’s appetite for large amounts of training data, redefining how we must think about data protection. Prudent governance at the global level will be essential to ensure that this era-defining technology will bring about broadly shared safety and prosperity.
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How To Cite
"Framework to build and analyze data science with Artificial Intelligence", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 8, page no.1522-1526, August-2022, Available :https://ijnrd.org/papers/IJNRD2208172.pdf
Issue
Volume 7 Issue 8, August-2022
Pages : 1522-1526
Other Publication Details
Paper Reg. ID: IJNRD_182707
Published Paper Id: IJNRD2208172
Downloads: 000121167
Research Area: Computer Science & TechnologyÂ
Country: Coimbatore, Tamilnadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2208172.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2208172
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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