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Titlebook: Data-Driven Decision Making; Jeanne Poulose,Vinod Sharma,Chandan Maheshkar Book 2024 The Editor(s) (if applicable) and The Author(s), unde

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發(fā)表于 2025-3-23 13:33:18 | 只看該作者
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發(fā)表于 2025-3-23 16:48:54 | 只看該作者
https://doi.org/10.1007/BFb0117145er extends contemporary and exponential research findings for Smart Tourism Practices and the Application of AI-enabled systems for the Tourism Ecosystem. It highlights for various service segments like hotels, motels, resorts, restaurants, cafes, airlines, and destinations under this large umbrella
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發(fā)表于 2025-3-23 20:24:27 | 只看該作者
https://doi.org/10.1007/978-94-011-2460-7 The basic idea behind the adoption of OBE model is that the graduates should possess a sound knowledge in their respective disciplines and also have global mobility and acceptance. The Outcome-Based Education (OBE) should be based on the vision and mission of the institution. The institutions shoul
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發(fā)表于 2025-3-24 01:37:57 | 只看該作者
Energielieferung an Letztverbraucherand Russell in 1995 explored four different approaches for AI: thinking humanly, thinking rationally, acting humanly and acting rationally. Taking on these approaches, the field of AI was defined further, based upon reasoning and behaviour. Though companies are using strategies and methods for stimu
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發(fā)表于 2025-3-24 06:15:50 | 只看該作者
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發(fā)表于 2025-3-24 07:36:09 | 只看該作者
ise. The convergence of big data, powerful computing, and cutting-edge algorithms has given rise to AI/ML/DS as pivotal drivers of innovation across industries. In this dynamic landscape, the education and career pathways are as diverse as the applications themselves. Understanding the core competen
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發(fā)表于 2025-3-24 13:54:17 | 只看該作者
ain management. The systematic literature review was conducted according to the PRISMA guidelines extended into a three-phase approach. The articles were reviewed from different databases like Scopus, Web of Science, and ABDC. 239 articles were reviewed through abstract screening, and 191 articles w
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發(fā)表于 2025-3-24 15:38:07 | 只看該作者
cies required, the avenues for learning and growth, and the burgeoning job opportunities is essential for anyone considering a career in these fields. Therefore, this chapter focuses on dispelling some of the myths relating to AI and understanding the data science space for careers in data science, AI, and machine learning.
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發(fā)表于 2025-3-24 19:55:03 | 只看該作者
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發(fā)表于 2025-3-25 02:28:17 | 只看該作者
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