Machine learning (ML) is a subset of artificial intelligence (AI) that involves training algorithms on data so that they can make predictions or decisions without being explicitly programmed to do so. For example, a machine learning model might be trained to recognize patterns in data and make predictions about the likelihood of certain outcomes based on those patterns.
A neural network (NN) is a type of machine learning algorithm that is inspired by the way the human brain works. It is composed of layers of interconnected "neurons," which process and transmit information. Neural networks are particularly good at recognizing patterns and making decisions based on data, and they have been used to achieve state-of-the-art results in many areas, including image and speech recognition, natural language processing, and even playing games.
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Reply to comment by IntelligentBand467 in 2022 was the year AGI arrived (Just don't call it that) by sideways
Machine learning (ML) is a subset of artificial intelligence (AI) that involves training algorithms on data so that they can make predictions or decisions without being explicitly programmed to do so. For example, a machine learning model might be trained to recognize patterns in data and make predictions about the likelihood of certain outcomes based on those patterns.
A neural network (NN) is a type of machine learning algorithm that is inspired by the way the human brain works. It is composed of layers of interconnected "neurons," which process and transmit information. Neural networks are particularly good at recognizing patterns and making decisions based on data, and they have been used to achieve state-of-the-art results in many areas, including image and speech recognition, natural language processing, and even playing games.