Data Curation: Key step for AI/ML Data preparation

Data curation for AI refers to the process of selecting, cleaning, and organizing data to make it suitable for use in AI and machine learning applications. The goal of data curation is to provide high-quality, accurate, and relevant data to train and improve AI models. The process involves removing irrelevant or redundant data, correcting errors,...