Synthetic Data Generation: Addressing Data Scarcity and Bias in ML Models
There is no doubt that machine learning (ML) is transforming industries across the board, but its effectiveness depends on the data it’s trained on. The ML models traditionally rely on real-world datasets to power the recommendation algorithms, image analysis, chatbots, and other innovative applications that make it so transformative. However, using actual data creates two significant challenges […]
The post Synthetic Data Generation: Addressing Data Scarcity and Bias in ML Models appeared first on DATAVERSITY.
Read More
Author: Anshu Raj