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Biased Data: For Better or for Worse? A Comprehensive Case Study and Analysis in Machine Learning

Biased Data: For Better or for Worse? A Comprehensive Case Study and Analysis in Machine Learning

Abigail Christina Fernandez
Copyright: © 2020 |Pages: 17
ISBN13: 9781799827726|ISBN10: 1799827720|EISBN13: 9781799827733
DOI: 10.4018/978-1-7998-2772-6.ch006
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MLA

Fernandez, Abigail Christina. "Biased Data: For Better or for Worse? A Comprehensive Case Study and Analysis in Machine Learning." Handbook of Research on Engineering Innovations and Technology Management in Organizations, edited by Loveleen Gaur, et al., IGI Global, 2020, pp. 106-122. https://doi.org/10.4018/978-1-7998-2772-6.ch006

APA

Fernandez, A. C. (2020). Biased Data: For Better or for Worse? A Comprehensive Case Study and Analysis in Machine Learning. In L. Gaur, A. Solanki, V. Jain, & D. Khazanchi (Eds.), Handbook of Research on Engineering Innovations and Technology Management in Organizations (pp. 106-122). IGI Global. https://doi.org/10.4018/978-1-7998-2772-6.ch006

Chicago

Fernandez, Abigail Christina. "Biased Data: For Better or for Worse? A Comprehensive Case Study and Analysis in Machine Learning." In Handbook of Research on Engineering Innovations and Technology Management in Organizations, edited by Loveleen Gaur, et al., 106-122. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2772-6.ch006

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Abstract

Data is just data if it is not put to proper comprehensive usage. Information is Knowledge and Knowledge gets upgraded to wisdom pertaining to insight in the relevant field of analysis. Data Science has become the key that unravels many pitches of interest in diversified fields of quest. It is of optimal stipulation that the solutions that the Artificial Intelligence Algorithms provide should do justice to the intent for which what it was built. But at times, inadvertently the word bias is declaimed, which has become an implicit or explicit inclusion in the Algorithms and the data collection methodologies incorporated. IT companies manoeuvring this technology need to treat this hushed underplay in prediction and decision making with top-notch priority to epitomise this imminent episode of Machine Learning in Data Analysis.

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