no code implementations • 10 May 2022 • Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal
Data values in a dataset can be missing or anomalous due to mishandling or human error.
no code implementations • 3 Nov 2021 • Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans
The increasing usage of machine learning models raises the question of the reliability of these models.
no code implementations • 12 Aug 2021 • Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha
We attempt to re-look at the data quality issues in the context of building a machine learning pipeline and build a tool that can detect, explain and remediate issues in the data, and systematically and automatically capture all the changes applied to the data.
no code implementations • 11 Feb 2021 • Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha
With widespread adoption of AI models for important decision making, ensuring reliability of such models remains an important challenge.