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Data Science and Machine Learning: 23rd Australasian Conference, AusDM 2025, Brisbane, QLD, Australia, November 26–28, 2025, Proceedings (Communications in Computer and Information Science, 2765) - Softcover
Synopsis
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.
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Data Science and Machine Learning
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Data Science and Machine Learning (eng)
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Data Science and Machine Learning: 23rd Australasian Conference, AusDM 2025, Brisbane, QLD, Australia, November 26-28, 2025, Proceedings (Communications in Computer and Information Science, 2765)
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Data Science and Machine Learning
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ISBN 10: 9819567858
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Paperback. Condition: New. 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. Seller Inventory # LU-9789819567850
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Data Science and Machine Learning: 23rd Australasian Conference, AusDM 2025, Brisbane, QLD, Australia, November 2628, 2025, Proceedings (Communications in Computer and Information Science, 2765)
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Data Science and Machine Learning
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ISBN 10: 9819567858
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 537 pp. Englisch. Seller Inventory # 9789819567850
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DATA SCIENCE AND MACHINE LEARNING : 23RD
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Data Science and Machine Learning (Paperback)
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Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789819567850
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Data Science and Machine Learning: 23rd Australasian Conference, AusDM 2025, Brisbane, QLD, Australia, November 2628, 2025, Proceedings (Communications in Computer and Information Science, 2765)
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