Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)

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Research on Practical Teaching of Machine Learning Course Based on Huawei ModelArts Cloud Platform

Authors
Minghui Wang1, *, Ling Zhang1, Boquan Zhang1
1Faculty of Computer, Guangdong University of Technology, Guangzhou, China
*Corresponding author. Email: wangminghui@gdut.edu.cn
Corresponding Author
Minghui Wang
Available Online 23 April 2026.
DOI
10.2991/978-94-6239-630-2_52How to use a DOI?
Keywords
ModelArts cloud platform; machine learning; experimental teaching reform; engineering ability; project-drivencomponent
Abstract

The practical teaching of the machine learning course is a crucial link that connects algorithm theory with engineering applications. The traditional experimental mode is facing challenges such as limited computing resources, scattered development environments, and disconnection from industrial processes. This paper takes Huawei Cloud ModelArts as the core carrier and systematically explores the method of reforming the experimental teaching by fully migrating the experimental environment to the ModelArts cloud platform. It has completely restructured the goals, contents, models and evaluation system of the machine learning course practical teaching. A new practical teaching paradigm is constructed with a progressive model of “basic experiments - comprehensive projects - innovation competitions”, aiming to cultivate innovative talents with modern artificial intelligence engineering practice capabilities.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
Series
Advances in Computer Science Research
Publication Date
23 April 2026
ISBN
978-94-6239-630-2
ISSN
2352-538X
DOI
10.2991/978-94-6239-630-2_52How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Minghui Wang
AU  - Ling Zhang
AU  - Boquan Zhang
PY  - 2026
DA  - 2026/04/23
TI  - Research on Practical Teaching of Machine Learning Course Based on Huawei ModelArts Cloud Platform
BT  - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
PB  - Atlantis Press
SP  - 542
EP  - 552
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-630-2_52
DO  - 10.2991/978-94-6239-630-2_52
ID  - Wang2026
ER  -