What is difference between AI,ML and Deep Learning.How are they related to each other.
Ibrahim Hassan AskaryBegginer
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Artificial Intelligence (AI)
Definition: AI is the broadest concept that involves creating machines or systems that can perform tasks that typically require human intelligence. These tasks include reasoning, learning, problem-solving, perception, and understanding natural language.
Examples:
Machine Learning (ML)
Definition: ML is a subset of AI that involves the development of algorithms that allow computers to learn from and make predictions or decisions based on data. Instead of being explicitly programmed to perform a task, ML models improve their performance through experience (data).
Examples:
Deep Learning (DL)
Definition: DL is a subset of ML that involves neural networks with many layers (deep neural networks). It aims to model complex patterns in data using multiple layers of abstraction.
Examples: