Artificial Intelligence is a broader term that refers to any system that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. It can be achieved through a variety of approaches, including rule-based systems, evolutionary algorithms, and machine learning.

Machine Learning is a subset of AI that involves training algorithms on data to make predictions or decisions without being explicitly programmed to perform a task. In machine learning, algorithms learn from examples, patterns, and experiences to improve their performance over time.

Deep Learning is a subfield of machine learning that is inspired by the structure and function of the brain, known as artificial neural networks. It uses multiple layers of artificial neural networks to analyze and learn from large and complex datasets. Deep learning algorithms are capable of automatically learning features and representations from the data, without the need for manual feature engineering. This makes them well-suited for tasks such as image and speech recognition, natural language processing, and autonomous decision making.
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