Data Acquisition

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• Internal Parameters: Internal parameters refer to the variables or coefficients that are learned by a machine learning algorithm during the training process. These parameters are used to make predictions on new data. The values of internal parameters are update ... 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 >>
• Neural: In the context of data science and artificial intelligence, neural refers to the use of artificial neural networks (ANNs) to simulate the behavior of the human brain in order to recognize patterns and make predictions. ANNs are composed of ... Read More >>