Machine learning model in detail

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Machine learning model is a type of artificial intelligence that allows computers to learn from data and make predictions or decisions.

Machine learning models are trained on large datasets to identify patterns and relationships.
There are different types of machine learning models such as supervised, unsupervised, and reinforcement learning.
Supervised learning models are trained on labeled data to make predictions on new, unseen data.
Unsupervised learning models are used to identify patterns and relationships in unlabeled data.
Reinforcement learning models learn through trial and error by receiving feedback on their actions.
Examples of machine learning models include decision trees, neural networks, and support vector machines.

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