Machine Learning in Artificial Intelligence
Machine learning is a subfield of artificial intelligence that focuses on developing algorithms and statistical models that allow computers to learn from and make decisions or predictions based on data without being explicitly programmed. In essence, machine learning enables systems to improve their performance on a task as they are exposed to more data over time.
Machine learning is used in various artificial intelligence applications, such as natural language processing, image recognition, and recommendation systems. These applications leverage machine learning algorithms to analyze and interpret large datasets, identify patterns, and make predictions or decisions based on the data.
Overall, machine learning plays a crucial role in advancing artificial intelligence by enabling systems to learn from experience and improve their performance autonomously, ultimately leading to more intelligent and efficient intelligent systems.
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