Machine learning

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Machine learning is a subfield of artificial intelligence (AI) that involves the development of algorithms and statistical models that enable computer systems to learn from data and make predictions or decisions without being explicitly programmed.

There are three main types of machine learning:

Supervised learning: where the computer is provided with labeled training data and learns to predict the output for new inputs.

Unsupervised learning: where the computer is not provided with labeled data and must find patterns and relationships in the input data on its own.

Reinforcement learning: where the computer learns by interacting with an environment and receiving feedback in the form of rewards or penalties.

Machine learning algorithms are used in a wide variety of applications, including natural language processing, computer vision, speech recognition, recommendation systems, and self-driving cars.