CONSERVATIVE SURVEY OF MACHINE LEARNING AND DATA ANALYTICS
Abstract
Computing power has been increasing exponentially, meaning that processing power can be harnessed to solve more complex tasks. Two fields that have emerged alongside this rapid growth are data analytics, machine learning. Data analytic and Machine learning algorithms are two terms used interchangeably in the world of big data and statistical analysis, the line that divide these two related terms is so tiny that most data analyst forget about the existence of such line dividing and providing blur differences between data analytic and machine learning algorithms. In this study, the underlying the difference between these two related terms and their common and different applications is studied in a concise manner. Their impact in decision making for firms, organizations and cooperate bodies, their approaches to problem solutions, as well as their limitations.
Downloads
References
[2] Willi Richert et Luis Pedro Coelho “Building Machine Learning Systems with Python”
[3] Martín Noguerol T, Paulano-Godino F, Martín-Valdivia MT, Menias CO, Luna A (2019)
[4] Strengths, weaknesses, opportunities, and threats analysis of artificial intelligence and machine learning applications in radiology. J Am Coll Radiol 16:1239–1247
[5] Baum J, Laroque C, Oeser B, Skoogh A, Subramaniyan M (2018) Applications of big data analytics and related technologies in maintenance—literature-based research. Machines 6:5
[6] Doupe P, Faghmous J, Basu S (2019) Machine learning for health services researchers. Value Health 22(7):808–815
[7] Núñez Reiz A, Armengol de la Hoz MA, Sánchez García M (2019) Big data analysis and machine learning in intensive care units. Big Data Analysis y Machine Learning en medicina intensiva. Med Intensiva 43(7):416-426. https://doi.org/10.1016/j.medin.2018.10.007
[8] Dash S, Shakyawar SK, Sharma M, Kaushik S (2019) Big data in healthcare: management, analysis and future prospects. J Big Data.
[9] “https://machinelearningmastery.com/a-tour-of-machine-learning-algoriths/”
[10] “https://www.expert.ai/blog/machine-learning-definition/”
[11] “https://towardsdatascience.com/a-brief-introduction-to-supervised-learning-54a3e3932590”
[12] “https://www.kdnuggets.com/2020/06/naive-bayes-algorithm-everything.html”
Copyright (c) 2023 IJRDO -Journal of Computer Science Engineering
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Author(s) and co-author(s) jointly and severally represent and warrant that the Article is original with the author(s) and does not infringe any copyright or violate any other right of any third parties, and that the Article has not been published elsewhere. Author(s) agree to the terms that the IJRDO Journal will have the full right to remove the published article on any misconduct found in the published article.
