What are the differences between machine learning and statistical models?

What are the differences between machine learning and statistical models?

Machine learning focuses on algorithms that learn from data, while statistical models emphasize inference and relationships.

Can you give me an example of each?

Sure! A statistical model could be linear regression, while a machine learning example is a decision tree.

When should I use one over the other?

Use statistical models for smaller datasets and hypothesis testing, and machine learning for larger datasets and complex patterns.

Are there any overlaps between the two?

Yes, they can overlap; for instance, some machine learning techniques use statistical principles for model evaluation.