IJFANS International Journal of Food and Nutritional Sciences
ISSN PRINT 2319 1775 Online 2320-7876
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Efficacy of Withania somnifera against oxidative stress in male Drosophila melanogaster.
Volume 13 | Issue 4
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Intervention Study On Cognitive Development Among School Children Of Siddi Tribe
Volume 13 | Issue 4
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ASSESSMENT OF INTRA AND INTER- EXAMINER RELIABILITY FOR PROPOSED SCALE OF MASTICATION IN CHILDREN– A PRELIMINARY STUDY
Volume 13 | Issue 4
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AI-DRIVEN APPROACH FOR MULTI CROP DISEASE CLASSIFICATION WITH PESTICIDE RECOMMENDATION SYSTEM
Volume 13 | Issue 4
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AI-based Detecting Deception In Online Interactions: An Analysis of Dishonest Internet Users for Advances In Online Security
Volume 13 | Issue 4
Data Privacy in Machine Learning
Main Article Content
Abstract
Advancements in machine learning have propelled innovation across various domains, yet the widespread use of large datasets raises significant concerns regarding individual data privacy. This research paper delves into the intricate landscape of "Data Privacy in Machine Learning," elucidating the challenges and potential solutions in preserving the confidentiality of personal information.
