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• Evaluation Metrics: Evaluation metrics are quantitative measures used to assess the performance of a machine learning model. These metrics are used to evaluate how well the model is performing in terms of accuracy, precision, recall, F1 score, and other releva ... Read More >>
• Stochastic Algorithms: Stochastic algorithms are a class of algorithms that use random variables to solve optimization problems. These algorithms are particularly useful when the objective function is complex and difficult to optimize using deterministic methods. ... Read More >>
• Chemical Property Prediction: Chemical Property Prediction is the process of using machine learning algorithms to predict the chemical properties of molecules. These properties include but are not limited to solubility, boiling point, melting point, toxicity, and reacti ... Read More >>