Investigation and Analysis of Influencing Factors of Innovation Quality of Data Science Students Based on Machine Learning-Reference-Cited by-同舟云学术

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Investigation and Analysis of Influencing Factors of Innovation Quality of Data Science Students Based on Machine Learning

Published:2024-04-26 Issue: Volume:1 Page:290-294
ISSN:
Container-title:Proceedings of the 5th International Conference on Computer Information and Big Data Applications
language:
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Author:

Fan Yingbing¹^ORCID,Sun Lina¹^ORCID,Huang Zhenxu¹^ORCID,Lu Bozhang¹^ORCID,Hu Tianyu¹^ORCID,Geng Yunfei¹^ORCID

Affiliation:

1. College of Science, Heihe University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3671151.3671204

Reference8 articles.

1. Innovation ability of Data Science majors [J];Yingbing Fan;Journal of Science and Technology New Era,2024

2. Research review on classification problems and algorithms of Machine learning [J];Jianfeng Yang;Statistics and Decision,2019

3. Duane Schultz, Sidney Schultz. Personality Psychology: A Comprehensive and Scientific Consideration of Human Nature (10th Edition of the Original Book) [M]. Zhang Denghao, Li Sen, trans. Beijing: China Machine Press, 2020, 127.

4. Qian Guiqing, Liu Wenli. Introduction to Innovative education [M]. Beijing: Beijing Normal University Press, 2009, 15-16.

5. Prediction of Anti-Corrosion performance of new triazole derivatives via Machine learning

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