2009, Data mining, Marketing and Metrics

Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

Occam's Razor

SEPTEMBER 4, 2012

I'm a lot less excited when I think about the imagination that we've brought to bear on mobile platforms and business/marketing. They are slow to grasp new opportunities to rethink customer relationships, to revolutionize products and services, marketing, advertising, acquisition, and to deliver delight and make people happy.

Marketing

Marketing Data mining Measurement 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. def get_neigbours(M, k): nn = NearestNeighbors(n_neighbors=k+1, metric="euclidean").fit(M) The unreasonable effectiveness of data. synthetic = np.empty((N * t, numattrs)) synth_idx = 0.

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

Data Leaders Brief

Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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