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Developing Open Source Educational Resources for Machine Learning and Data Science
[article]
2021
arXiv
pre-print
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It should be openly accessible to everyone, with as few barriers as possible; even more so for key technologies such as Machine Learning (ML) and Data Science (DS). ...
Open Educational Resources (OER) are a crucial factor for greater educational equity. ...
Acknowledgements This work has been partially supported by the German Federal Ministry of Education and Research (BMBF) under Grant No. 01IS18036A. ...
arXiv:2107.14330v2
fatcat:adullidt3vgt7hf6nrqlem5pky
The PHOTON Wizard – Towards Educational Machine Learning Code Generators
[article]
2020
arXiv
pre-print
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We outline a proof-of-concept, open-source web application, the PHOTON Wizard, which dynamically translates GUI interactions into valid source code for the Python machine learning framework PHOTON. ...
As we consider programmatic understanding key to building effective and efficient machine learning solutions, we argue for a novel educational approach that builds upon the accessibility and acceptance ...
Finally, the notion of Educational Machine Learning Code Generators and the PHOTON Wizard implementation are discussed in the context of applied-science ML and future developments and conclusions are outlined ...
arXiv:2002.05432v1
fatcat:dekrf7wluvfjzpqteie4wpgo34
Linking Educational Resources on Data Science
2019
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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We use machine learning techniques to tag each resource with concepts from the Data Science Education Ontology, which we developed to further describe resource content. ...
In this paper, we describe the construction of ERuDIte, the Educational Resource Discovery Index for Data Science, and its release as linked data. ...
Van Horn, Jeana Kamdar, Sumiko Abe, Xiaoyu Lei, Avnish Bhattrai, and Crystal Stewart for their contributions to BigDataU.org. ...
doi:10.1609/aaai.v33i01.33019404
fatcat:srbzmjfgrbh27nbfwijlwt7iru
Democratizing data science through data science training
2018
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
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Given the richness of online training materials and the constant evolution of biomedical data science, computational methods applying information retrieval, natural language processing, and machine learning ...
To this end, the BD2K Training Coordinating Center (TCC; bigdatau.org) was funded to facilitate both in-person and online learning, and open up the concepts of data science to the widest possible audience ...
Further information on the NIH BD2K program, its contributing NIH institutes, and all of its supported projects may be found via the NIH Data Science Office website (https://datascience.nih.gov/). ...
pmid:29218890
pmcid:PMC5731238
fatcat:k6cv3tl76vaihkvvpt3tyby54a
Education, Knowledge and Data in the Context of the Sharing Economy
[chapter]
2022
The Sharing Economy in Europe
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This chapter aims to examine activities such as Open Education, Open Design, knowledge and data sharing from the perspective of the sharing economy. ...
Peer-to-peer learning lowers the barrier for learning new skills and encourages even teenagers to mentor younger kids in learning how to code. ...
Based on Open Science, van der Zee and Reich propose a framework for Open Education Science, including Open Access to publications, Open Design of educational resources and pedagogy, Open Data for collecting ...
doi:10.1007/978-3-030-86897-0_9
fatcat:figk7bifyza5tei4j5cwnku7hy
MT Embedded E-Learning in India - Challenges for NLP/AI
2019
International Journal of Engineering and Advanced Technology
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The paper also presents an effort to develop MT resources and tools for Maithili and its application in delivering multilingual content for education. ...
India's education needs are diverse and the success of e-learning depends heavily on the availability of necessary NLP tools in all languages. ...
National Repository of Open Educational Resources
(NROER) is an open source where teachers and students
can access digital educational content free. ...
doi:10.35940/ijeat.a9348.109119
fatcat:6m5d3g2fabgmnkerlisfwfmvdy
Course Materials for Data Science in Practice
2022
Journal of Open Source Education
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Data Science in Practice is a collection of openly available materials, including tutorials and assignments, for learning how to integrate the many skills of data science. ...
This collection of materials was originally developed for a course at UC San Diego designed to teach creative and practical data science at scale (Donoghue et al., 2021) . ...
Acknowledgments We would like to thank the course staff, including the instructional assistants, teaching assistants, and instructors who have contributed time, work, and ideas to this course and these ...
doi:10.21105/jose.00121
fatcat:yjv7jznvzjgg3onv4bkikkdlae
Conservation Tech Directory
[article]
2021
figshare.com
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She builds machine learning platforms to support wildlife research, largely focused on automating image processing and bioacoustics analysis for marine mammal research. ...
*An interactive version of this directory is available at conservationtech.directory*A list of organizations, communities, companies, open-source projects and other resources within the conservation technology ...
and geospatial
community to support decision-makers working on global
development challenges; develop Earth observation machine
learning libraries and models through open source hub; fosters
community ...
doi:10.6084/m9.figshare.15442200.v6
fatcat:rimzpsafq5foxf25n7ucgueh3a
Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning structures and recommendations for 2020-2050
[article]
2020
Zenodo
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This paper focuses on an important and poorly communicated side of data science and machine learning: the application of these methods as discovery tools. ...
We cover the progress of data science and machine learning in Heliophysics at a high level and establish the importance of the notion of explainability of models. ...
We must commit resources and time to supporting the open-source scientific software ecosystem.
Increase support for Heliophysics data infrastructures. ...
doi:10.5281/zenodo.4048814
fatcat:nuwom6hagrcfhivodkbhxtv37u
Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning structures and recommendations for 2020-2050
[article]
2020
Zenodo
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The file type is application/pdf.
This paper focuses on an important and poorly communicated side of data science and machine learning: the application of these methods as discovery tools. ...
We cover the progress of data science and machine learning in Heliophysics at a high level and establish the importance of the notion of explainability of models. ...
We must commit resources and time to supporting the open-source scientific software ecosystem.
Increase support for Heliophysics data infrastructures. ...
doi:10.5281/zenodo.4025351
fatcat:gl4ntng3h5hztce6gz35kpddwe
An approach for description of Open Educational Resources based on semantic technologies
2010
IEEE EDUCON 2010 Conference
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Open Educational Resources are accessed through the web, whose real setting shows an explosion in the use and development of tools and services based on Social Software. ...
In this work, we propose, OER-CC ontology, for the description of Open Educational Resources under Creative Commons Licenses. This approach is based on standard technology and metadata standards. ...
ACKNOWLEDGMENT Support for this work was provided by UPM under project AL09-PID-36, UTPL and scholarship provided by the Secretaría Nacional de Ciencia y Tecnología (SENACYT) of Ecuador. ...
doi:10.1109/educon.2010.5492453
fatcat:2uuc6g3ol5aqxh4fpv2ymkwq3u
Conservation Tech Directory
[article]
2022
figshare.com
Preserved Fulltext
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The file type is application/pdf.
She builds machine learning platforms to support wildlife research, largely focused on automating image processing and bioacoustics analysis for marine mammal research. ...
*An interactive version of this directory is available at conservationtech.directory*A list of organizations, communities, companies, open-source projects and other resources within the conservation technology ...
challenges; develop Earth observation machine learning libraries & models through open source hub; fosters community of practice to develop standards around machine learning for Earth observation & provide ...
doi:10.6084/m9.figshare.15442200.v12
fatcat:b4bfumzexjec5lh4bdk3q35bia
Conservation Tech Directory
[article]
2022
figshare.com
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
She builds machine learning platforms to support wildlife research, largely focused on automating image processing and bioacoustics analysis for marine mammal research. ...
*An interactive version of this directory is available at conservationtech.directory*A list of organizations, communities, companies, open-source projects and other resources within the conservation technology ...
ntuHMM.pdf Brett McClintock, Theo Michelot open source plughttps://arribada. python package for developing & using machine learning solutions https://pypi. https://cran.r-project. also contains Shiny ...
doi:10.6084/m9.figshare.15442200.v13
fatcat:qgs2d2chsbdo5hflfzwu3p2rzq
Open Innovation Laboratory For Rapid Realization Of Sensing, Smart And Sustainable Products (S3 Products) For Higher Education
2017
Zenodo
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(Active Learning and Blended Learning using Massive Open Online Courses MOOCs) and rapid product realization platforms. ...
The implementation consists of adapting this Open Innovation Laboratory within the course's syllabus in combination with the implementation of specific methodologies for product development, learning methods ...
ACKNOWLEDGMENT This project is founded by the Connected Communities Initiative from CITRIS at California University, Berkeley and Tecnologico de Monterrey, and the NOVUS program funded by Tecnologico de ...
doi:10.5281/zenodo.1130328
fatcat:5l2abwk3uraapnh4tilno6i23m
Customisable Data Science Educational Environment: From Competences Management And Curriculum Design To Virtual Labs On-Demand
2017
Zenodo
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Data Science is an emerging field of science, which requires a multi-disciplinary approach and is based on the Big Data and data intensive technologies that both provide a basis for effective use of the ...
The proposed approach is based on using the EDISON Data Science Framework (EDSF) developed in the EU funded Project EDISON and CYCLONE cloud automation systems being developed in another EU funded project ...
ACKNOWLEDGMENT The research leading to these results has received funding from the Horizon2020 projects CYCLONE (funded by the European Commission under grant number 644925) and EDISON (funded under grant ...
doi:10.5281/zenodo.1044375
fatcat:de4q6lmj2rgmrcn3mymetmlilq
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