Difference between ML, AI, IOT

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ML is a subset of AI that uses algorithms to learn from data, AI is the broader concept of machines being able to carry out tasks in a smart way, and IoT refers to the network of physical devices connected to the internet.

Machine Learning (ML) is a subset of Artificial Intelligence (AI) that focuses on developing algorithms that allow computers to learn from and make predictions or decisions based on data.
Artificial Intelligence (AI) is the broader concept of machines being able to carry out tasks in a smart way, often involving reasoning, problem-solving, and decision-making.
Internet of Things (IoT) refers to the network of physical devices, vehicles, home appliances, and other items embedded with sensors, software, and connectivity that enables them to connect and exchange data over the internet.
Example: ML can be used in AI systems to improve decision-making processes, while IoT devices can collect data that can be analyzed using ML algorithms to make predictions or automate tasks.

Difference between ML, AI, IOT

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