A Study on Machine Learning Tools

The purpose of this paper is to present an idea of machine learning tools that are currently in use or are being studied globally. This work explains the detailed explanation of what is machine learning. This paper introduces a machine learning study by various authors. This work is summarizing the various machine learning tools and their comparisons and recent studies of machine learning tools respectively. The material presented in this paper is the result of a literature review of different research papers and books. This work compares the various tools of machine learning.

Keywords

Machine learning Scikit Weka Tensorflow Accord.net

References

1. IH Witten,E Frank,LE Trigg,MA Hall,G Holmes“ Practical machine learning tools and techniques.
2. IH Witten,E Frank,MA Hall,CJ Pall “Data Mining: Practical machine learning tool sand techniques”-2016.
3. Artur Kiulian-“How To Do Business with Artificial Intelligence.”-2017.
4. Yegulalp, Serdar. 2020. "11 Open Source Tools To Make The Most Of Machine Learning".
5. "Christian Hissibini –.NET Mobile Development". 2020.
6. Brownlee, Jason. 2020. "Machine Learning Tools"
7. L.-J. Li and L. Fei-Fei. What, where and who? classifying events by scene and object recognition. In Proc. ICCV, 2007.
8. J. Sanchez, F. Perronnin, T. Mensink, and J. Verbeek. Image classification with the fisher vector: Theory ́ and practice. Int’l Journal of Computer Vision, 2013.
9. B. Yao, X. Jiang, A. Khosla, A. L. Lin, L. Guibas, and L. Fei-Fei. Human action recognition by learning bases of action attributes and parts. In Proc. ICCV, 2011.
10. Witten, Ian H., et al. "Weka: Practical machine learning tools and techniques with Java implementations." (1999).
11. Géron, Aurélien.Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, 2019.
12. P. Agrawal, R. Girshick, and J. Malik. Analyzing the performance of multilayer neural networks for object recognition. In Proc. ECCV. 2014.
13. Spyros Makridakis, Evangelos Spiliotis , Vassilios Assimakopoulos, ” Statistical and Machine Learning forecasting methods: Concerns and ways forward”, PLoS ONE 13,2018
14. Shivashish, ”Top 15 Most Used Machine Learning Tools By Experts!!”,2020
15. Kuan-Yu Chen, Cheng-Hua Wang, “Support vector regression with genetic algorithms in forecasting tourism demand” , Tourism Management 28, pp 215–226, 2007
16. S.B. Kotsiantis, “Supervised Machine Learning: A Review of Classification Techniques”, Informatica. pp 249-268, 2007.
17. Yogesh Singh, Pradeep Kumar Bhatia & Omprakash Sangwan “A review of studies in machine learning technique”. International Journal of Computer Science and Security, vol.1, pp 70 –84, 2007
18. Petersp,”The Need for Machine Learning is Everywhere” March 10, 2015
19. Pedro Domingos, “A Few useful Things to Know about Machine Learning”.2012.

Download

DOWNLOAD PDF

How to Cite

Shivani Sharma Sharma, Sudhir Kumar Sharma . (2020). A Study on Machine Learning Tools. IITM Journal of Management and IT, 11(1), 98-102.

About This Journal

IIT

IITM Journal of Management and IT

Published by Institute of Information Technology & Management

P-ISSN 2349-9826

✓ Citation copied to clipboard

[1] 1. IH Witten,E Frank,LE Trigg,MA Hall,G Holmes“ Practical machine learning tools and techniques.

[2] 2. IH Witten,E Frank,MA Hall,CJ Pall “Data Mining: Practical machine learning tool sand techniques”-2016.

[3] 3. Artur Kiulian-“How To Do Business with Artificial Intelligence.”-2017.

[4] 4. Yegulalp, Serdar. 2020. "11 Open Source Tools To Make The Most Of Machine Learning".

[5] 5. "Christian Hissibini –.NET Mobile Development". 2020.

[6] 6. Brownlee, Jason. 2020. "Machine Learning Tools"

[7] 7. L.-J. Li and L. Fei-Fei. What, where and who? classifying events by scene and object recognition. In Proc. ICCV, 2007.

[8] 8. J. Sanchez, F. Perronnin, T. Mensink, and J. Verbeek. Image classification with the fisher vector: Theory ́ and practice. Int’l Journal of Computer Vision, 2013.

[9] 9. B. Yao, X. Jiang, A. Khosla, A. L. Lin, L. Guibas, and L. Fei-Fei. Human action recognition by learning bases of action attributes and parts. In Proc. ICCV, 2011.

[10] 10. Witten, Ian H., et al. "Weka: Practical machine learning tools and techniques with Java implementations." (1999).

[11] 11. Géron, Aurélien.Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, 2019.

[12] 12. P. Agrawal, R. Girshick, and J. Malik. Analyzing the performance of multilayer neural networks for object recognition. In Proc. ECCV. 2014.

[13] 13. Spyros Makridakis, Evangelos Spiliotis , Vassilios Assimakopoulos, ” Statistical and Machine Learning forecasting methods: Concerns and ways forward”, PLoS ONE 13,2018

[14] 14. Shivashish, ”Top 15 Most Used Machine Learning Tools By Experts!!”,2020

[15] 15. Kuan-Yu Chen, Cheng-Hua Wang, “Support vector regression with genetic algorithms in forecasting tourism demand” , Tourism Management 28, pp 215–226, 2007

[16] 16. S.B. Kotsiantis, “Supervised Machine Learning: A Review of Classification Techniques”, Informatica. pp 249-268, 2007.

[17] 17. Yogesh Singh, Pradeep Kumar Bhatia & Omprakash Sangwan “A review of studies in machine learning technique”. International Journal of Computer Science and Security, vol.1, pp 70 –84, 2007

[18] 18. Petersp,”The Need for Machine Learning is Everywhere” March 10, 2015

[19] 19. Pedro Domingos, “A Few useful Things to Know about Machine Learning”.2012.