How can machine learning improve data validation processes?

How can machine learning improve data validation processes?

Machine learning can enhance data validation by automating the detection of anomalies and ensuring data quality.

What types of algorithms are commonly used for this?

Common algorithms include decision trees, support vector machines, and neural networks, which can learn from data patterns.

Can you give an example of a real-world application?

Sure! In finance, machine learning models validate transaction data to detect fraud by identifying unusual patterns.

What are the challenges in implementing machine learning for data validation?

Challenges include data quality, model interpretability, and the need for continuous learning to adapt to new data.