Machine learning is a branch of artificial intelligence that enables computer systems to learn from data and improve their performance without being explicitly programmed. Algorithms analyze patterns in large datasets to make predictions, classify information, or automate decisions. Common machine learning techniques include supervised learning, unsupervised learning, and reinforcement learning.
Machine learning is widely used in applications such as recommendation systems, fraud detection, image recognition, and predictive analytics. While these technologies increase efficiency and accuracy, they also raise concerns about data quality, model transparency, and algorithmic bias. Understanding machine learning principles is essential for organizations adopting data-driven solutions.
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