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Titlebook: Online Machine Learning; A Practical Guide wi Eva Bartz,Thomas Bartz-Beielstein Book 2024 The Editor(s) (if applicable) and The Author(s),

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發(fā)表于 2025-3-26 21:28:09 | 只看該作者
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發(fā)表于 2025-3-27 01:55:46 | 只看該作者
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發(fā)表于 2025-3-27 05:49:30 | 只看該作者
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發(fā)表于 2025-3-27 11:13:22 | 只看該作者
Summary and Outlook, discussed and concrete recommendations for OML practice are given. The importance of a suitable comparison methodology for Batch Machine Learning (BML) and OML methods is highlighted to avoid “comparing apples to oranges”. We also point out the great potential of OML that is available through the development of the open-source software River.
35#
發(fā)表于 2025-3-27 15:37:10 | 只看該作者
Machine Learning: Foundations, Methodologies, and Applicationshttp://image.papertrans.cn/o/image/701550.jpg
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發(fā)表于 2025-3-27 21:45:59 | 只看該作者
https://doi.org/10.1007/978-981-99-7007-0Online Machine Learning; Machine Learning; Artificial Intelligence; Drift Detection; Supervised Learning
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發(fā)表于 2025-3-28 03:36:55 | 只看該作者
The Impact of Social Media on E-Commerce and Marketingse it for communication, marketing, and other ways to gain profit. The youth around the world are heavy users of social media, including for online purchases. Therefore, businesses are increasingly employing social media within their companies to compete in this digital age.
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發(fā)表于 2025-3-28 09:44:06 | 只看該作者
Life Transitions, Learning and Digital Technologies –Common Threads and Conceptionstsdam, Germany, on 2. July 2014. The key question asked, across the seven papers presented and included as chapters in this book, was: how do digital technologies support life transitions? The argument within this initial positional paper asked a pre-requisite question: what are life transitions, an
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發(fā)表于 2025-3-28 10:41:37 | 只看該作者
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