editorinchief@ijsreat.com +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal e-ISSN 2583-1240 Since 2021
  1. Home
  2. Archives
  3. 2024
  4. Vol. 4 Issue 1
  5. Article
Research Article

Advancements in Machine Learning: A Comprehensive Exploration of Methods, Applications, and Future Perspectives

  • Paper ID 101
  • Volume 4, Issue 1
  • Pages 01-04
  • Published Online: January-February 2024
  • 11 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Bommireddy Sri kanth Reddy1

B.Tech, Computer Science-Data Science, Chalapathi Institute of Engineering and Technology (CIET), Guntur, Andhra Pradesh, India.

Article Information

Published Online
January-February 2024
Pages
01-04
Article Type
Research Article
Check for updates
check update

References

1. Burkart, Nadia, and Marco F. Huber.(2021) "A survey on the explainability of supervised machine learning." Journal ofArtificial
Intelligence Research 70 (2021): 245-317.
2. Maleki, Farhad, et al. (2020) "Overview of machine learning part 1: fundamentals and classic approaches." NeuroimagingClinics 30.4
(2020): e17-e32.
3. Sen, Pratap Chandra, MahimarnabHajra, and MitadruGhosh.(2020)"Supervised classification algorithms in machine learning: A survey
and review." Emerging technology in modelling and graphics. Springer, Singapore, 2020. 99-111.
4. Mahesh, Batta. (2020) "Machine learning algorithms-a review." International Journal of Science and Research(IJSR).[Internet] 9 (2020):
381-386
5. Jiang, Tammy, Jaimie L. Gradus, and Anthony J. Rosellini.(2020)"Supervised machine learning: a brief primer." Behaviour Therapy 51.5
(2020): 675-687.
6. Jiang, Tammy, Jaimie L. Gradus, and Anthony J. Rosellini. (2020) "Supervised machine learning: a brief primer."Behaviour Therapy 51.5
(2020): 675-687.
7. Löning, Markus, et al. (2019)"sktime: A unified interface for machine learning with time series."arXiv preprintarXiv:1909.07872 (2019).
8. Alzubi, Jafar, Anand Nayyar, and AkshiKumar.(2018)"Machine learning from theory to algorithms: an overview." Journal of physics:
conference series. Vol. 1142. No. 1. IOP Publishing, 2018.
9. Singh, Amanpreet, Narina Thakur, and AakankshaSharma.(2016) "A review of supervised machine learning algorithms." 2016 3rd
International Conference on Computing for Sustainable Global Development (INDIACom).Ieee, 2016.
10. Ayodele, Taiwo Oladipupo.(2010)"Machine learning overview." New Advances in Machine Learning 2 (2010): 9-18.
11. Alpaydin, E. (2010). Introduction to machine learning (2nd ed.). Cambridge, MA: MIT Press.
12. Kotsiantis, S. B. (2007). Supervised machine learning: A review of classification techniques. Informatica,31, 249–268.
13. Bishop, C. M. (2006). Pattern recognition and machine learning. New York, NY: Springer.
14. Dietterich, T. G. (2000). Ensemble methods in machine learning. Proceedings of Multiple Classifier Systems: FirstInternational Workshop
(MCS) (pp. 1–15). Berlin: Springer. doi:http://dx.doi.org/10.1007/3-540-45014-9_1
15. Carbonell, Jaime G., Ryszard S. Michalski, and Tom M. Mitchell.(1983) "An overview of machine learning." Machine learning (1983): 3-
23.
APC from ₹1200 + 18% GST

Peer-reviewed open access₹1200 Indian (₹1400 with DOI)$80 USD internationalpaid after acceptance Peer-reviewed open access₹1200 Indian$80 USD international ₹1200 Indian · $80 intl

  • CrossRef DOI
  • ISSN 2583-1240
  • Open Access
  • Peer Reviewed
  • Plagiarism Checked
  • Google Scholar
Submit Paper