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Titlebook: Handbuch Mitarbeiterführung; Wirtschaftspsycholog J?rg Felfe,Rolf van Dick Living reference work 20200th edition

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21#
發(fā)表于 2025-3-25 03:34:43 | 只看該作者
Jenny Sarah Wesche,Lena Fleighon as a programming language. Then we highlight some situations where Python is not a good choice. Finally, we describe some good practices in application development and give some coding examples that a data scientist needs in their day-to-day job.
22#
發(fā)表于 2025-3-25 09:59:57 | 只看該作者
23#
發(fā)表于 2025-3-25 14:41:47 | 只看該作者
24#
發(fā)表于 2025-3-25 17:07:52 | 只看該作者
Sabine Korek,J?rg Felfe,Franziska Pundtobesity being the result of a complex system. This complexity is often ignored by generic interventions, and not fully utilized for clinical decision-making. We focused on heterogeneity and feedback loops as key parts of this complexity. We measured heterogeneity and found it high, in a demographica
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發(fā)表于 2025-3-25 23:54:26 | 只看該作者
26#
發(fā)表于 2025-3-26 02:25:47 | 只看該作者
27#
發(fā)表于 2025-3-26 07:09:41 | 只看該作者
Sibylle Detelata are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machin
28#
發(fā)表于 2025-3-26 11:26:26 | 只看該作者
Uwe Peter Kanningi-stakeholder settings, and may play out differently for different products and users. To address this problem, this chapter develops a soft analytics approach, based on Fuzzy Cognitive Maps (FCM) that leads to adoption models that are specific for a particular product and group of adopters. Its emp
29#
發(fā)表于 2025-3-26 14:28:26 | 只看該作者
Alina S. Hernandez Bark,Leena Pundtn description or other complexities that cause difficulty for the conv- tional approaches of logistic regression, neural network models, and de- sion trees. Among these traditional algorithms, neural network models often have a relative advantage when data is complex. We will discuss methods with si
30#
發(fā)表于 2025-3-26 17:18:59 | 只看該作者
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