Data Science and Machine Learning : 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proceedings
Autor: | Diana Benavides-Prado, Sarah Erfani, Philippe Fournier-Viger, Yee Ling Boo, Yun Sing Koh |
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Kategorie: |
COMPUTERS / Data Science / Data Analytics, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing, COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, EDUCATION / Computers & Technology, MATHEMATICS / Applied, MATHEMATICS / Probability & Statistics / General
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Popis: | This book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11–13, 2023.The 20 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers are organized in the following topical sections: research track and application track. They deal with topics around data science and machine learning in everyday life. |
Databáze: | eBook Index |
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