AI Explains Machine Learnin
What is machine learning
Machine learning is a subset of artificial intelligence (AI) that focuses on designing algorithms and statistical models that enable computer systems to learn from and make predictions or decisions based on data, without being explicitly programmed to do so.
In machine learning, algorithms are trained on large amounts of data to learn patterns, relationships, and insights that can be used to make predictions or decisions about new data. Machine learning algorithms are designed to improve their performance over time by adjusting their parameters based on feedback from the data.
There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, the algorithm is trained on labeled data, where the correct output is known. In unsupervised learning, the algorithm is trained on unlabeled data, where the correct output is not known. In reinforcement learning, the algorithm learns through trial and error by receiving feedback in the form of rewards or penalties.
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