In today's data-driven world, data is often referred to as the new oil. It fuels businesses, drives decision-making processes, and is the backbone of innovation. However, acquiring and managing high-quality data can be a daunting task. This is where synthetic data generation comes into play. What is Synthetic Data Generation? Synthetic data is artificially generated data that mimics the properties and characteristics of real data. It is created using algorithms and statistical models, rather than being obtained through direct measurement. Synthetic data generation techniques use machine learning algorithms to create data that closely resembles real-world data but does not contain any sensitive or personally identifiable information. How Does Synthetic Data Generation Work? Synthetic data generation works by analyzing the patterns, distributions, and relationships present in real data, and then using this information to generate new data. This process involves several steps: Data A...