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What is Supervised Learning Explained: Key Concepts about?
Supervised learning is a machine learning paradigm where models are trained on labeled data to predict outputs for unseen instances. The process involves steps such as determining training samples, gathering data, selecting algorithms, and evaluating accuracy, while considering factors like bias-variance tradeoff and noise in output values. Various algorithms exist for supervised learning, including support-vector machines and neural networks, and it has applications in fields like bioinformatics, handwriti
- Author
- michael.moshe.forrest
- Language
- EN