Assessment on Recurrent Applications of Machine Learning and its Behaviours
R. Dhaya1, M. Devi2, R. Kanthavel3, Fahad Algarni4, Pooja Dixikha5
1R.Dhaya, Department of Computer Science, King Khalid University, Sarat Abidha Campus, KSA.
2M.Devi, Department of Computer Science, King Khalid University, SaratAbidha Campus, KSA.
3R.Kanthavel, Department of Computing and Information Technology, University of Bisha, Bisha, KSA.
4Fahad Algarni, Department of Computing and Information Technology, University of Bisha, Bisha, KSA.
5Pooja Dixikha, Department of ECE, Sona College of Technology, Salem (Tamil Nadu), India.
Manuscript received on 28 September 2019 | Revised Manuscript received on 10 November 2019 | Manuscript Published on 22 November 2019 | PP: 1174-1180 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F11970986S319/19©BEIESP | DOI: 10.35940/ijeat.F1197.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Artificial intelligence (AI) and machine learning are at the moment measured to be the unique widespread inventions. Artificial Intelligence rummage-sale to stand an unbelievable conception from science fiction, but nowadays it’s flattering a day-to-day authenticity. On the other hand, a neural network emulates the procedure of actual neurons in the brain that are parquet the track near innovations in machine learning, baptised deep learning. Machine learning can cosiness us living cheerier, improved, and additional dynamic conscious, if the power of the Deep learning concepts and its proper utilization as an industrial revolution that harness mental and cognitive ability. Currently lots of research papers deal with the Artificial Intelligence of deep learning in various real time applications that includes intelligent gaming, smart driving, and environmental protection and so on. Irrespective of all applications an intelligent decision making must be done timely to improve the accuracy in one end and simultaneously on the other end to consume energy and system efficiency. This paper presents the various applications using deep learning efficiently by better decision making and also how to visualize the problems in order to take a conclusion for better solution. The analysis of such real time problems is done by logically in the form of using artificial neurons through supervised and unsupervised data.
Keywords: Artificial Intelligence, Deep Learning, Data Science And Automation.
Scope of the Article: Machine Learning