What is the difference between neural networks and machine learning?

What is the difference between neural networks and machine learning?

Machine learning is a broader concept that includes various algorithms, while neural networks are a specific type of machine learning model.

Can you explain how neural networks work?

Neural networks consist of layers of interconnected nodes that process data, learning patterns through training.

Are neural networks the only type of machine learning?

No, there are other types like decision trees, support vector machines, and ensemble methods.

When should I use a neural network instead of other algorithms?

Use neural networks for complex problems like image recognition or natural language processing where large datasets are available.