A Comparative Study of Different Machine Learning Tools
Himani Maheshwari1 , Pooja Goswami2 , Isha Rana3
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-4 , Page no. 184-190, Apr-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i4.184190
Online published on Apr 30, 2019
Copyright © Himani Maheshwari, Pooja Goswami, Isha Rana . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Himani Maheshwari, Pooja Goswami, Isha Rana, “A Comparative Study of Different Machine Learning Tools,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.184-190, 2019.
MLA Style Citation: Himani Maheshwari, Pooja Goswami, Isha Rana "A Comparative Study of Different Machine Learning Tools." International Journal of Computer Sciences and Engineering 7.4 (2019): 184-190.
APA Style Citation: Himani Maheshwari, Pooja Goswami, Isha Rana, (2019). A Comparative Study of Different Machine Learning Tools. International Journal of Computer Sciences and Engineering, 7(4), 184-190.
BibTex Style Citation:
@article{Maheshwari_2019,
author = {Himani Maheshwari, Pooja Goswami, Isha Rana},
title = {A Comparative Study of Different Machine Learning Tools},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {184-190},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4015},
doi = {https://doi.org/10.26438/ijcse/v7i4.184190}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.184190}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4015
TI - A Comparative Study of Different Machine Learning Tools
T2 - International Journal of Computer Sciences and Engineering
AU - Himani Maheshwari, Pooja Goswami, Isha Rana
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 184-190
IS - 4
VL - 7
SN - 2347-2693
ER -
![]() |
![]() |
![]() |
771 | 318 downloads | 173 downloads |
![](icone_social/Facebook.png)
![](icone_social/Twitter.png)
![](icone_social/Linkedin.png)
![](icone_social/Google+.png)
Abstract
Machine Learning is the science of making computers learn and act like humans by feeding data and information without being explicitly programmed. It imbibes the philosophy of human learning, i.e. learning from expert guidance and from experience. The objective of this paper is to venture into the arena of machine learning from evolution to types of machine learning. In addition to, this paper also insights the comparison between various programming and non programming tools of machine learning
Key-Words / Index Term
machine learning, supervised, unsupervised, reinforcement, active, semi supervised
References
[1] Dutt S., Chandramouli S. and Das A. K. (2019). Machine Learning, Published by Pearson Indian Education Services.
[2] Jawad F., Choudhury T. U. R., Najeeb A., Fariha M., Nusrat Chamon, R., Rashedur M. (2015). Data mining techniques to analyze the reason for home birth in Bangladesh, IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, pp. 225-230.
[3] Kumar A., Alzubi J. and Nayyar A. (2018). Machine learning from theory to algorithms: An overview, Journal of Physics: Conference Series.
[4] Nithya, B. and Ilango V. (2017).Predictive analytics in health care using machine learning tools and techniques, International Conference on Intelligent Computing and Control Systems (ICICCS) (IEEE Explore).
[5] R Sujatha, S. Sree Dharinya, E P Ephzibah, R Kiruba Thangam (2019).International Journal of Engineering and Advanced Technology (IJEAT), ISSN: 2249 – 8958, Volume-8 Issue-3, pp. 405-409.
[6] Raghavendra S, Santosh K J, Raghavendra B. K. (2019). Performance Evaluation of Machine Learning Techniques in Diabetes Prediction, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8 Issue-3, pp.75-79.
[7] Web Url: https://knowm.org/machine-learning-tools-an-overview/ (Last accessed on: Mar, 2019).
[8] Web Url: https://www.analyticsindiamag.com/5-open-source-ml-tools-you-can-use-without-coding/ (Last accessed on: Mar, 2019).
[9] Web Url: https://www.guru99.com/deep-learning-libraries.html (Last accessed on: Feb, 2019).