محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Recurso digital |
| اللغة: | الإنجليزية |
| منشور في: |
Zenodo
2026
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.5281/zenodo.18924840 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
جدول المحتويات:
- <p><em>This research paper examines the integration of Machine Learning and Big Data Analytics within cloud computing environments. With the rapid growth of digital data, cloud platforms provide scalable infrastructure and powerful computational resources for storing and processing large datasets efficiently. The study explores various machine learning algorithms and big data analytics techniques that enhance data analysis, prediction accuracy, and intelligent decision-making. It also discusses the advantages of cloud-based solutions such as scalability, flexibility, and cost efficiency. Furthermore, the paper highlights current challenges, security concerns, and potential future developments in the field of cloud-based machine learning and big data analytics.</em></p>