Remove Data Collection Remove Document Remove Knowledge Discovery Remove Testing
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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

Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. Some of this knowledge is locked and the company cannot access it. We translate their documents, presentations, tables, etc. What exactly do you do for them?

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

Domino Data Lab

A comprehensive list of all attributes and symbol codes is given in the document that accompanies the original dataset. We start by loading the data, setting meaningful names for all attributes, and displaying the first 5 entries. After forming the X and y variables, we split the data into training and test sets.

Modeling 139