Problems with Synthetic Data

Introduction Data scientists all across the world are hungry for it. The ambition to train and deploy cutting-edge machine learning algorithms such as neural networks raise the bar for additional data. This rapidly becomes an issue when gathering fresh data is time-consuming, expensive, or just impo...

Types of Synthetic Data

Data is one of today’s most valuable resources. However, because actual data is expensive, sensitive, and time-consuming to collect, it is not always a choice. When training machine learning models, however, utilizing synthetic data may be a valuable replacement. In this post, we will define s...

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