Data Collection, Interactive, Knowledge Discovery 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

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. After forming the X and y variables, we split the data into training and test sets. show_in_notebook(). Ribeiro, M.

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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