Machine learning has transitioned from an individ-
ualistic approach to a collaborative one, enabling the collective effort to address increasingly complex challenges as they arise.
One challenge that emerges is the management of a collaborative
development process in machine learning projects. This paper
outlines a collaborative environment KEENsight that leverages
the benefits of a collaborative approach by orchestrating various open source tools. It establishes an optimal setting for code
collaboration, model generation, data sharing, and the utilization of computational resources not limited to a single location.
Through the integrating of these tools, KEENsight aims to
streamline the development process and enhance productivity
in machine learning.
%0 Conference Paper
%1 2024sherpa
%A Sherpa, Lincoln
%A Attar Khorasani, Sima
%A Sankar, Rajasekar
%A Müller-Pfefferkorn, Ralph
%A Ghiasvand, Siavash
%B The Fifteenth International Conference on Information, Intelligence, Systems and Applications
%C Crete, Greece
%D 2024
%K myOwn
%T KEENsight: Cloud based Collaborative Environment for Streamlining Machine Learning Development
%X Machine learning has transitioned from an individ-
ualistic approach to a collaborative one, enabling the collective effort to address increasingly complex challenges as they arise.
One challenge that emerges is the management of a collaborative
development process in machine learning projects. This paper
outlines a collaborative environment KEENsight that leverages
the benefits of a collaborative approach by orchestrating various open source tools. It establishes an optimal setting for code
collaboration, model generation, data sharing, and the utilization of computational resources not limited to a single location.
Through the integrating of these tools, KEENsight aims to
streamline the development process and enhance productivity
in machine learning.
@inproceedings{2024sherpa,
abstract = {Machine learning has transitioned from an individ-
ualistic approach to a collaborative one, enabling the collective effort to address increasingly complex challenges as they arise.
One challenge that emerges is the management of a collaborative
development process in machine learning projects. This paper
outlines a collaborative environment KEENsight that leverages
the benefits of a collaborative approach by orchestrating various open source tools. It establishes an optimal setting for code
collaboration, model generation, data sharing, and the utilization of computational resources not limited to a single location.
Through the integrating of these tools, KEENsight aims to
streamline the development process and enhance productivity
in machine learning.},
added-at = {2024-12-10T16:16:27.000+0100},
address = {Crete, Greece},
author = {Sherpa, Lincoln and Attar Khorasani, Sima and Sankar, Rajasekar and Müller-Pfefferkorn, Ralph and Ghiasvand, Siavash},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/27f67833c1f0bbbe8824ecda602fd5b2a/ghiasvan},
booktitle = {The {Fifteenth} {International} {Conference} on {Information}, {Intelligence}, {Systems} and {Applications}},
copyright = {All rights reserved},
interhash = {2117a90a85c6857d4f6370e884060efe},
intrahash = {7f67833c1f0bbbe8824ecda602fd5b2a},
keywords = {myOwn},
month = jun,
shorttitle = {{KEENsight}},
timestamp = {2024-12-10T16:28:27.000+0100},
title = {{KEENsight}: {Cloud} based {Collaborative} {Environment} for {Streamlining} {Machine} {Learning} {Development}},
year = 2024
}