Remove 2002 Remove Data-driven Remove Forecasting Remove Measurement
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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. This renders measures like classification accuracy meaningless. In their 2002 paper Chawla et al. 2002) have performed a comprehensive evaluation of the impact of SMOTE- based up-sampling.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. First item on our checklist: did Rev 2 address how to lead data teams?

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SOX Compliance Guide

Jet Global

With multitudes of regulations surrounding everything from reporting to data security, organizations can quickly become overwhelmed. The Sarbanes-Oxley Act of 2002 imposes an annual SOX compliance requirement on publicly traded companies operating in the United States. Finance is a complex field, and so are the laws that govern it.