Machine Learning & Big Data Analytics in the Cloud Environment
Fuente:
Zenodo
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866901518896070656 |
|---|---|
| author | WIN KHANT, KO |
| author_facet | WIN KHANT, KO |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18924840 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Machine Learning & Big Data Analytics in the Cloud Environment WIN KHANT, KO Machine Learning Big Data Cloud Computing <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> |
| title | Machine Learning & Big Data Analytics in the Cloud Environment |
| topic | Machine Learning Big Data Cloud Computing |
| url | https://doi.org/10.5281/zenodo.18924840 |