Data Science and Machine Learning: 23rd Australasian Conference, Ausdm 2025, Brisbane, Qld, Australia, November 26-28, 2025, Proceedings
暫譯: 數據科學與機器學習:第23屆澳洲會議,Ausdm 2025,澳大利亞昆士蘭布里斯班,2025年11月26-28日,會議論文集
Nguyen, Quang Vinh, Li, Yuefeng, Kwan, Paul
- 出版商: Springer
- 出版日期: 2026-02-13
- 售價: $3,660
- 貴賓價: 9.5 折 $3,477
- 語言: 英文
- 頁數: 562
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819567858
- ISBN-13: 9789819567850
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相關分類:
Python、Machine Learning
海外代購書籍(需單獨結帳)
商品描述
This book constitutes the proceedings of the 23rd Australasian Conference on Data Science and Machine Learning, AusDM 2025, held in Brisbane, Australia, during November 26-28, 2025.
The 37 full papers presented in this book were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: (1) Federated, Adaptive and Trustworthy Machine Learning; (2) Environment, Information Security and Productivity; (3) Deep Learning Fusion and Vision; (4) Health and Social Good and (5) Knowledge-Driven and Domain Specific AI. They deal with topics around data science, machine learning and also AI in everyday life.
商品描述(中文翻譯)
本書為第23屆澳洲及南太平洋數據科學與機器學習會議(AusDM 2025)的會議論文集,會議於2025年11月26日至28日在澳大利亞布里斯班舉行。
本書中呈現的37篇完整論文是從99篇投稿中經過仔細審核和選拔而來。這些論文依主題分為以下幾個部分:(1)聯邦、適應性和可信的機器學習;(2)環境、資訊安全與生產力;(3)深度學習融合與視覺;(4)健康與社會公益;(5)知識驅動與特定領域的人工智慧。這些論文探討了數據科學、機器學習以及人工智慧在日常生活中的應用主題。