Data Collection, Interactive, Knowledge Discovery and Optimization

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

Ontotext

APRIL 4, 2019

This is a knowledge that anyone can get, but it would take much longer than optimal. Milena Yankova : If they decide to work in IT, I would advise them to better understand the value of the data that machines collect from their interactions with us. Economy.bg: The pros in this respect are indisputable.

Recreation/Entertainment

Recreation/Entertainment Testing Enterprise Knowledge Discovery

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

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. Conference on Knowledge Discovery and Data Mining, pp. Ribeiro, M. Guestrin, C., Why should I trust you?:

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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