Data Collection, Knowledge Discovery, Optimization and Testing

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

Ontotext

APRIL 4, 2019

Milena Yankova : Our work is focused on helping companies make sense of their own knowledge. 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.

Recreation/Entertainment

Recreation/Entertainment Testing Enterprise Knowledge Discovery

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

Domino Data Lab

AUGUST 1, 2021

After forming the X and y variables, we split the data into training and test sets. Looking at the target vector in the training subset, we notice that our training data is highly imbalanced. All we need to do is instantiate LimeTabularExplainer and give it access to the training data and the independent feature names.

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Data Leaders Brief

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

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

Webinars

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