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Fundamentals of Data Mining

Data Science 101

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Data Mining Process. Data Collection.

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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

This is a knowledge that anyone can get, but it would take much longer than optimal. This is extremely powerful, so literacy in data collection and data processing will be one of the crucial skills of the future. Economy.bg: The pros in this respect are indisputable. How to prepare for a future without employment?

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

Domino Data Lab

The surrogate model is often a simple linear model or a decision tree, which are innately interpretable, so the data collected from the perturbations and the corresponding class output can provide a good indication on what influences the model’s decision. Conference on Knowledge Discovery and Data Mining, pp.

Modeling 139