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• Metric: In Data Science, a metric is a quantitative measure used to assess the performance of a model or algorithm. Metrics are used to evaluate how well a model is performing in terms of accuracy, precision, recall, F1 score, AUC-ROC, and other pe ... Read More >>
• Machine Learning Model Training: Machine learning model training is the process of feeding a machine learning algorithm with data to enable it to learn and make predictions or decisions. The training process involves selecting the appropriate algorithm, preparing the data, ... Read More >>
• Spectroscopic Imaging: Spectroscopic imaging is a technique that combines spectroscopy and imaging to provide spatially resolved spectra of a sample. In other words, it is a method of obtaining both the chemical composition and spatial distribution of a sample. S ... Read More >>