Introduction: Machine learning algorithms rely on large and diverse datasets for training robust and accurate models. However, acquiring real-world data can be challenging due to limitations such as privacy concerns, data scarcity, and the need for labeled examples. In response to these challenges, synthetic datasets have emerged as a powerful tool in machine learning research. … Continue reading The Best Role of Synthetic Datasets in Machine Learning Research