What is the difference between deep learning and machine learning?

What is the difference between deep learning and machine learning?

Deep learning is a subset of machine learning that uses neural networks with many layers. Machine learning encompasses a broader range of algorithms.

Can you give me examples of each?

Sure! An example of machine learning is a decision tree for classification, while deep learning is often used in image recognition with convolutional neural networks.

Which one is better for big data?

Deep learning tends to perform better with large datasets, as it can automatically learn features from the data, while traditional machine learning may require more feature engineering.

Are there any limitations to deep learning?

Yes, deep learning models require a lot of data and computational power, and they can be less interpretable compared to simpler machine learning models.