What is the difference between ML and Deep Learning?
The question is about machine learning
Answer:
Machine learning is a generic term meaning to create algorithms that learn from data in making predictions, while deep learning is a subarea of machine learning dealing with multilayered neural networks modeling complex patterns in data.
It performs quite well when it comes to image and speech recognition tasks. In this way, all deep learning falls under the scope of machine learning, but it focuses on large and complex data sets.