What is data simulation in machine learning?

What is data simulation in machine learning?

Data simulation in machine learning involves creating synthetic datasets to train models when real data is scarce.

Why would I use simulated data instead of real data?

Simulated data can help in scenarios where real data is difficult to obtain, ensuring privacy and allowing for controlled experiments.

Can you give me an example of how to simulate data?

Sure! You can use libraries like NumPy or pandas in Python to generate random data that mimics the characteristics of real datasets.

What are the limitations of using simulated data?

Simulated data may not capture all the complexities of real-world data, leading to models that perform poorly in practice.