Shetty, Harshaprabha N. and Asampalli, Sony and Bonam, Prabhu Vara Prasad (2023) Data Bias Detection in Machine Learning Using Various Statistical Measures. In: Advances and Challenges in Science and Technology Vol. 7. B P International, pp. 160-171. ISBN 978-81-19761-98-2
Full text not available from this repository.Abstract
The study discusses numerous statistical techniques for bias identification. The techniques are used with binary and multinomial dafigta. Artificial intelligence (AI) is a broad term referring to machines or computers that mimic human intelligence. Machine learning (ML), a subdomain of modern AI, creates rules based on training data. The Bias detection of data and model are essential in today’s scenarios. The mitigated data will give better prediction results. Good predictions help organizations to take better decisions.
Item Type: | Book Section |
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Subjects: | Article Paper Librarian > Multidisciplinary |
Depositing User: | Unnamed user with email support@article.paperlibrarian.com |
Date Deposited: | 16 Oct 2023 11:51 |
Last Modified: | 16 Oct 2023 11:51 |
URI: | http://editor.journal7sub.com/id/eprint/1930 |