2009, Data mining, Metrics and Strategy

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. propose a different strategy where the minority class is over-sampled by generating synthetic examples. def get_neigbours(M, k): nn = NearestNeighbors(n_neighbors=k+1, metric="euclidean").fit(M)

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

Occam's Razor

SEPTEMBER 4, 2012

2009 was the year of mobile. If your company has a non-stinky mobile website and mobile app then congratulations: you have successfully solved the problem of 2009! … But I was thrilled to see my utility marketing strategy in action! So, what is your company's mobile strategy? You'll cry most of the time.

Marketing

Marketing Data mining Measurement Strategy

Data Leaders Brief

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

Webinars

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