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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

We present the inner workings of the SMOTE algorithm and show a simple “from scratch” implementation of SMOTE. Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. from sklearn.neighbors import NearestNeighbors from random import randrange.