Brains behind the code: Real-world applications of machine learning
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| Format: | Recurso digital |
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2025
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| _version_ | 1866902212562649088 |
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| author | Darshan Dond Archana Bendale M. K. Borse |
| author_facet | Darshan Dond Archana Bendale M. K. Borse |
| contents | <p>This paper investigates how machine learning technologies are being applied across various industries, transforming theoretical concepts into practical solutions. By examining implementations in healthcare, finance, transportation, retail, and agriculture, we identify how algorithmic approaches have revolutionized operational efficiency and decision-making processes. The research evaluates implementation barriers, ethical dilemmas, and future developments, providing comprehensive insights into machine learning's current deployment status and societal impact. Our findings suggest that while machine learning presents remarkable innovation opportunities, successful integration requires navigating technical constraints, ethical considerations, and regulatory environments with care and foresight.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15629967 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Brains behind the code: Real-world applications of machine learning Darshan Dond Archana Bendale M. K. Borse Machine learning applications healthcare analytics financial technology autonomous systems smart agriculture retail intelligence ethical AI human-machine collaboration implementation strategies industry transformation <p>This paper investigates how machine learning technologies are being applied across various industries, transforming theoretical concepts into practical solutions. By examining implementations in healthcare, finance, transportation, retail, and agriculture, we identify how algorithmic approaches have revolutionized operational efficiency and decision-making processes. The research evaluates implementation barriers, ethical dilemmas, and future developments, providing comprehensive insights into machine learning's current deployment status and societal impact. Our findings suggest that while machine learning presents remarkable innovation opportunities, successful integration requires navigating technical constraints, ethical considerations, and regulatory environments with care and foresight.</p> |
| title | Brains behind the code: Real-world applications of machine learning |
| topic | Machine learning applications healthcare analytics financial technology autonomous systems smart agriculture retail intelligence ethical AI human-machine collaboration implementation strategies industry transformation |
| url | https://doi.org/10.5281/zenodo.15629967 |