Data Collection, Data-driven, Knowledge Discovery and Strategy

Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

JULY 6, 2021

What attributes of your organization’s strategies can you attribute to successful outcomes? Seriously now, what do these word games have to do with content strategy? Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient.

Strategy

Strategy Machine Learning Metadata Knowledge Discovery

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. 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. Chawla et al.

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

Data Leaders Brief

Are You Content with Your Organization’s Content Strategy?

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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