AI models are algorithms trained to recognize patterns in data and make predictions or decisions based on that information. Ranging from simple linear regression to complex deep learning architectures, AI models are the core of machine learning applications. These models are trained using vast datasets and are used in diverse industries, from finance to healthcare, to perform tasks such as classification, clustering, and forecasting. Building an effective AI model requires data preprocessing, feature engineering, and model evaluation to ensure accuracy and reliability in real-world applications.
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