Data Science and Machine Learning Applications

Data-Centric AI

This Data-Centric AI focuses on improving AI systems by enhancing the quality and management of the data used in training rather than solely tweaking algorithms. It emphasizes creating high-quality, well-labeled datasets and addressing data issues such as bias, imbalance, or noise. This approach aims to achieve better AI performance and robustness by refining the data itself.