Complex models trained on poor or biased data can lead to user frustration. Engineers should invest in building reliable and clean data pipelines, using techniques to detect and mitigate bias, thus enhancing product performance and fairness—key factors in user satisfaction.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.