A Review on Machine Learning and Its Applications
DOI:
https://doi.org/10.55524/Keywords:
Algorithms, Machine Learning, Supervised Learning, Unsupervised LearningAbstract
Learning is the most important aspect of human intellect and the most fundamental method of acquiring information. Machine learning is the most basic method for making a machine intelligent. Application Data has grown in quantity over the last several decades, necessitating the need to uncover anything that might lead to critical judgments, so deep learning is assisting much in this regard. It's a subset of artificial intelligence that allows machines to learn by experience or example in the same way that people do, and to discover fascinating patterns without having to be programmed. The algorithm is fed data, which is then used to create a model. It can forecast new values using this model. It assists us in locating something unfamiliar to us, which may lead to the discovery of many new experiences. Health, finance, travel, retail, image processing, media and video processing, natural language, computerized trading, automobile, aerospace, manufacturing, or a variety of other areas may all benefit from machine learning. This article presents an overview of machine learning's fundamentals, techniques, including applications in numerous industries.
Downloads
References
Chaudhary P, Khati P, Chaudhary A, Maithani D, Kumar G, Sharma A. Cultivable and metagenomic approach to study the combined impact of nanogypsum and Pseudomonas taiwanensis on maize plant health and its rhizospheric microbiome. PLoS One. 2021;
Mishra AP, Saklani S, Parcha V, Nigam M, Coutinho HDM. Antibacterial activity and phytochemical characterisation of Saussurea gossypiphora D. Don. Arch Microbiol. 2021;
Goswami PK, Goswami G. Machine learning supervised antenna for software defined cognitive radios. Int J Electron. 2021;
Kumar S, Jain A, Shukla AP, Singh S, Raja R, Rani S, et al. A Comparative Analysis of Machine Learning Algorithms for Detection of Organic and Nonorganic Cotton Diseases. Math Probl Eng. 2021;
Sisodia A, Kundu S. Enrichment of Performance of Operation based Routing Protocols of WSN using Data Compression. In: Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019. 2020.
Alessandretti L, Elbahrawy A, Aiello LM, Baronchelli A. Anticipating Cryptocurrency Prices Using Machine Learning. Complexity. 2018;
Alammar J. The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Visualizing machine learning one concept at a time. Blog. 2018;
Pathak D, Pratap Singh R, Gaur S, Balu V. To study the influence of process parameters on weld bead geometry in shielded metal arc welding. In: Materials Today:
Proceedings. 2021.
Pathak D, Singh RP, Gaur S, Balu V. Influence of groove angle on hardness and reinforcement height of shielded metal arc welded joints for low carbon AISI 1016 steel plates. In: Materials Today: Proceedings. 2020.
Solanki MS, Goswami L, Sharma KP, Sikka R. Automatic Detection of Temples in consumer Images using histogram of Gradient. In: Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2019. 2019.
Angra S, Ahuja S. Machine learning and its applications: A review. Proc 2017 Int Conf Big Data Anal Comput Intell ICBDACI 2017. 2017;(January):57–60.
Sharma K, Goswami L. RFID based Smart Railway Pantograph Control in a Different Phase of Power Line. In: Proceedings of the 2nd International Conference on Inventive Research in Computing Applications, ICIRCA 2020. 2020.
Kumar N, Singh A, Sharma DK, Kishore K. Novel Target Sites for Drug Screening: A Special Reference to Cancer, Rheumatoid Arthritis and Parkinson’s Disease. Curr Signal Transduct Ther. 2018;
Machine Learning Tutorial – All the Essential Concepts in Single Tutorial.
Yadav CS, Yadav M, Yadav PSS, Kumar R, Yadav S, Yadav KS. Effect of Normalisation for Gender Identification. In: Lecture Notes in Electrical Engineering. 2021.
Thappa S, Chauhan A, Anand Y, Anand S. Thermal and geometrical assessment of parabolic trough collector mounted double-evacuated receiver tube system. Clean Technol Environ Policy. 2021;
Goswami L, Kaushik MK, Sikka R, Anand V, Prasad Sharma K, Singh Solanki M. IOT Based Fault Detection of Underground Cables through Node MCU Module. In: 2020 International Conference on Computer Science, Engineering and Applications, ICCSEA 2020. 2020.
Gupta S, Mishra T, Varshney S, Kushawaha V, Khandelwal N, Rai P, et al. Coelogin ameliorates metabolic dyshomeostasis by regulating adipogenesis and enhancing energy expenditure in adipose tissue. Pharmacol Res. 2021;
Agarwal S, Agarwal A, Chandak S. Role of placenta accreta index in prediction of morbidly adherent placenta: A reliability study. Ultrasound. 2021;
Yousef KQ, Rubins U, Mafawez A. Photoplethysmogram second derivative review: Analysis and applications. Sci Res Essays. 2015;10(21):633–9.
Xue M, Zhu C. A study and application on machine learning of artificial intellligence. IJCAI Int Jt Conf Artif Intell. 2009;272–4.
Dutton DM, Conroy G V. A review of machine learning. Knowl Eng Rev. 1997;12(4):341–67.
Chen W Bin, Liu XL, Liu YJ, Yu F. A machine learning algorithm for expert system based on MYCIN model. ICCET 2010 - 2010 Int Conf Comput Eng Technol Proc. 2010;2:262–5.
Wang H, Ma C, Zhou L. A brief review of machine learning and its application. Proc - 2009 Int Conf Inf Eng Comput Sci ICIECS 2009. 2009;
Gujjar P, Rao P, Devi GL, Rao PS. A Study and Application on Cross-Disciplinary Proficiency Learning of Artificial Intelligence. 2011;2(6):1–4.
Downloads
Published
Issue
Section
How to Cite
