Data Collection, Knowledge Discovery and Publishing

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

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. Data mining for direct marketing: Problems and solutions. Morgan Kaufmann Publishers Inc. Quinlan, J. Programs for machine learning.

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

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 : What we did for the BBC in the previous Olympics was that we helped journalists publish their reports faster. This is extremely powerful, so literacy in data collection and data processing will be one of the crucial skills of the future. I think artists can relax. Economy.bg: What about journalists?

Recreation/Entertainment

Recreation/Entertainment Testing Enterprise Knowledge Discovery

Data Leaders Brief

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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

Webinars

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