Master’s Thesis Presentation • Data Systems — Scaling Machine Learning Data Repair Systems for Sparse Datasets
Please note: This master’s thesis presentation will be given online.
Omar Attia, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ihab Ilyas
Machine learning data repair systems (e.g., HoloClean) have achieved state-of-the-art performance for the data repair problem on many datasets. However, these systems still face significant challenges when applied to sparse datasets.