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 field that includes various algorithms, while neural networks are a specific type of machine learning model.

Can you explain how neural networks work?

Sure! Neural networks consist of layers of interconnected nodes (neurons) that process data and learn patterns through training.

What are some common applications of neural networks?

Common applications include image recognition, natural language processing, and autonomous vehicles.

Are neural networks always better than other machine learning methods?

Not necessarily. Neural networks excel in complex tasks but can be overkill for simpler problems where traditional methods may perform better.