Difference between artificial intelligence and machine learning.

Artificial intelligence (AI) is a broad field, machine learning (ML) is a subset of AI, and deep learning (DL) is a subset of ML. 
Artificial intelligence (AI)
The broadest term that refers to machines that mimic human intelligence 
Includes a variety of approaches and algorithms, such as robotics, expert systems, and natural language processing 
Machine learning (ML) 
A subset of AI that uses algorithms to teach machines to learn without being explicitly programmed
Uses simpler methods like decision trees or linear regression to extract knowledge from data
Deep learning (DL)
A subset of ML that uses artificial neural networks to learn complex patterns and make predictions 
Uses more advanced methods than ML, such as neural networks with multiple layers 
Requires more data and computational power than ML 
DL can learn from its own errors and can outperform other ML techniques for certain tasks. For example, DL can be used to describe images, translate documents, or transcribe sound files into text. 

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