Is the manipulation of matter at the Nano-scale, where materials and devices have unique properties due to their small size. It has applications in various fields, including electronics, materials science, medicine, and energy.

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supervised machine learning

Supervised machine learning is a subfield of artificial intelligence where algorithms learn patterns from labeled data to make predictions or decisions. In this approach, the model is trained on a dataset containing input-output pairs, with the aim of learning the mapping between inputs and outputs. During training, the algorithm adjusts its parameters iteratively to minimize the difference between its predictions and the true labels.

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