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Titlebook: Apply Data Science; Introduction, Applic Thomas Barton,Christian Müller Book 2023 The Editor(s) (if applicable) and The Author(s), under ex

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樓主: 萌芽的心
31#
發(fā)表于 2025-3-26 21:52:02 | 只看該作者
2.9 Compounds of arsenic and antimony,rowing customer demands. The quest for increased competitiveness and efficiency is expressed above all in the implementation of (innovative) technological solutions and the increasingly automated and data-driven decision-making processes. The presented tool, the TOCI model (Technological and Organiz
32#
發(fā)表于 2025-3-27 02:25:43 | 只看該作者
2.6 Compounds of selenium and tellurium,reason for failure only in the novelty and complexity of these projects is too short-sighted. A survey of 85 knowledge workers from companies of different sizes shows, in addition to problems for which established solutions already exist, also special challenges of the discipline of Data Science. Th
33#
發(fā)表于 2025-3-27 05:30:42 | 只看該作者
34#
發(fā)表于 2025-3-27 12:31:20 | 只看該作者
35#
發(fā)表于 2025-3-27 15:25:40 | 只看該作者
36#
發(fā)表于 2025-3-27 18:38:58 | 只看該作者
2.6 Compounds of selenium and tellurium,nts to consumers. The energy transition with the phase-out of nuclear power plants by 2022 and the expansion of renewable energies on the distribution grid level confronts low-voltage grids with challenges such as unmonitored overloads or voltage range violations. In addition, the volatility of load
37#
發(fā)表于 2025-3-27 22:54:02 | 只看該作者
38#
發(fā)表于 2025-3-28 02:28:26 | 只看該作者
2.9 Compounds of arsenic and antimony, scientific literature search. If a literature search is carried out as part of a scientific work, the found publications must be analyzed and their content evaluated. This can be a large number of publications, so that the analysis of the content can be extremely time-consuming. This article descri
39#
發(fā)表于 2025-3-28 09:45:15 | 只看該作者
2.9 Compounds of arsenic and antimony,the number of faults in the products must be kept as small as possible in order to avoid annoying customers and to minimize costs for maintenance and repair. Machine learning models such as subgroup discovery and association rules make it possible to find relationships between product configurations
40#
發(fā)表于 2025-3-28 13:34:10 | 只看該作者
2.9 Compounds of arsenic and antimony,ment in teaching and research. The framework serves as an environment for the development of functionality using vehicle models that have been created within the context of the Wildauer Machines Works digital learning factory. Furthermore, it is described how a digital company can be used in teachin
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