What are the differences between statistics and machine learning in research?

What are the differences between statistics and machine learning in research?

Statistics focuses on data analysis and inference, while machine learning emphasizes prediction and pattern recognition.

Can you give examples of when to use statistics over machine learning?

Use statistics for hypothesis testing and small datasets, while machine learning is better for large datasets and complex patterns.

Are there situations where both can be used together?

Absolutely! They can complement each other, such as using statistical methods to validate machine learning models.

What skills do I need to work in these fields?

You'll need a strong foundation in mathematics, programming skills, and knowledge of data analysis techniques for both.