What are the differences between machine learning and statistical methods?

What are the differences between machine learning and statistical methods?

Machine learning focuses on algorithms that learn from data, while statistical methods emphasize inference and hypothesis testing.

Can you give me an example of when to use machine learning instead of statistical methods?

Sure! Use machine learning for large datasets with complex patterns, like image recognition, while statistical methods are great for smaller datasets.

Are there any situations where both can be used together?

Absolutely! You can use statistical methods to understand data before applying machine learning models for predictions.

What are some common machine learning algorithms?

Common algorithms include decision trees, support vector machines, and neural networks.