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Performing Non-Compartmental Analysis with Julia and Pumas AI

Domino Data Lab

Having calculated AUC/AUMC, we can further derive a number of useful metrics like: Total clearance of the drug from plasma. We can now pass the preprocessed data to the Pumas NCAReport function, which calculates a wide range of relevant NCA metrics. We can merge all the metrics in a separate DataFrame for further analysis.

Metrics 59
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Fundamentals of Data Mining

Data Science 101

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). The models created using these algorithms could be evaluated against appropriate metrics to verify the model’s credibility. Common Applications.

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AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

Some of this knowledge is locked and the company cannot access it. We translate their documents, presentations, tables, etc. into structured knowledge that can be processed by machines. Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. A comprehensive list of all attributes and symbol codes is given in the document that accompanies the original dataset. Conference on Knowledge Discovery and Data Mining, pp.

Modeling 139