Thrust Areas of Machine Learning and Its Current Scenario

Authors

  • M Vasumathy Dept. of Computer Science, Madurai Kamaraj University, Madurai – 02, India

DOI:

https://doi.org/10.26438/ijcse/v7i10.121123

Keywords:

Machince Learning, Scenario of ML, Analytics, Techno ML, IIOT, Neural Network

Abstract

Machine Learning counter in this world beyond the buzzwords to transfigure our living cosmoses. It is made conceivable by the convergence of lively data. Traditionally, Machine learning (ML) is multi-disciplinary inclusive of statistics and computer science in around of computational systems from the collective data prediction than instructions. ML functions to the base fact of predictions of data on the reality of applications. Thence the thrust areas of Machine Learning with its bias are explicated here with certain reality and comprehensive examples like Trusting Scientific Discoveries Made Possible, Facing Volatile Price Trends for Tomato Growers, Gaining Critical Mass for Data Analytics Pros and Finding Hidden Technologies in IIOT. The techno ML is majorly bounded with rule and behavior-based systems, Bayesian and statistical algorithm, Neural Network and Deep Neural Network are also exposed here with their specification and its learning style is deliberated.

References

[1] Osvaldo Simeone,Fellow, “A Very Brief Introduction to Machine LearningWith Applications to Communication Systems”, IEEE arXiv:1808.02342v4, 5 Nov 2018.

[2] Francesco Musumeci et al, “An Overview on Application of Machine Learning Techniques in Optical Networks”, IEEE arXiv:1803.07976v4 [cs.NI] 1 Dec 2018.

[3] https://www.thehindubusinessline.com/economy/agri-business/karnataka-tomato-growers-to-get-crop-price-forecasts-from-ibm-using-ai-ml/article26358330.ece

[4] Alvaro F. Fuentes, Sook Yoon, Jaesu Lee, and Dong Sun Park, “ High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank, 2018 Aug 29. doi: 10.3389/fpls.2018.01162

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Published

2019-10-31
CITATION
DOI: 10.26438/ijcse/v7i10.121123
Published: 2019-10-31

How to Cite

[1]
V. M, “Thrust Areas of Machine Learning and Its Current Scenario”, Int. J. Comp. Sci. Eng., vol. 7, no. 10, pp. 121–123, Oct. 2019.

Issue

Vol. 7 No. 10 (2019): IJCSE October Edition

Section

Survey Article

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