What is the difference between machine learning and deep learning?

What is the difference between machine learning and deep learning?

Machine learning is a subset of AI that uses algorithms to analyze data, while deep learning is a specialized form of ML that uses neural networks.

Can you explain how neural networks work in deep learning?

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

What are some common applications of deep learning?

Deep learning is used in image recognition, natural language processing, and autonomous vehicles, among other fields.

Is deep learning always better than traditional machine learning?

Not necessarily. Deep learning requires more data and computational power, and traditional ML can be more effective for simpler tasks.