Data Collection, Knowledge Discovery, Modeling and Publishing

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 : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. Milena Yankova : What we did for the BBC in the previous Olympics was that we helped journalists publish their reports faster. What exactly do you do for them? I think artists can relax.

Recreation/Entertainment

Recreation/Entertainment Testing Enterprise Knowledge Discovery

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large.

Machine Learning

Machine Learning Metrics Data mining 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

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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