International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 109

Research Paper | Software Engineering | Volume 9 Issue 8, August 2020 | Pages: 424 - 429 | India


Machine Learning and Deep Learning Frameworks and Libraries for Large-Scale Data Mining

Aniket Agarwal

Abstract: The study contains the impact in emerging computing resources a technique along with increased avalanches of wider datasets to transfer several research areas and leads to the technological breakthrough which is used by the several people effectively. The advanced technologies are developed in the machine learning especially in Deep Learning. The technologies are provided here concentrating on the fields for analyzing and learning from the wider range of data from real world. This study presents the comprehensive overview of the libraries and frameworks in machine learning and Deep learning in wider scale data mining.

Keywords: Machine Learning, Deep Learning, Large-scale Data mining, Libraries and Framework

How to Cite?: Aniket Agarwal, "Machine Learning and Deep Learning Frameworks and Libraries for Large-Scale Data Mining", Volume 9 Issue 8, August 2020, International Journal of Science and Research (IJSR), Pages: 424-429, https://www.ijsr.net/getabstract.php?paperid=SR20804130059, DOI: https://dx.doi.org/10.21275/SR20804130059

Download Citation: APA | MLA | BibTeX | EndNote | RefMan

Share This Research

Help this article reach readers, researchers and professionals.

Share activity is measured for research-engagement analytics. Only verified, unique public shares can support award tie-breaking.

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.

Download Article PDF


Rate This Article!

Top

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.