2020, Data Collection and Knowledge Discovery

On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

MAY 18, 2020

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Thanks to their might, now scientists and practitioners can develop innovative ways of collecting, storing, processing, and, ultimately, finding patterns in data.

Knowledge Discovery

Knowledge Discovery Experimentation Data-driven Metadata

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

Domino Data Lab

AUGUST 1, 2021

2020) propose the following foundational set of methods to classify various approaches for explaining deep ANNs. Ning Xie, Gabrielle Ras, Marcel van Gerven, Derek Doran, Explainable Deep Learning: A Field Guide for the Uninitiated, CoRR, 2020, [link]. Conference on Knowledge Discovery and Data Mining, pp.

Modeling

Modeling Deep Learning Machine Learning Knowledge Discovery

Data Leaders Brief

On the Hunt for Patterns: from Hippocrates to Supercomputers

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

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