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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

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. The unreasonable effectiveness of data. Data mining for direct marketing: Problems and solutions. UCI machine learning repository.

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Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

Occam's Razor

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! I'm sure you are impressed at the data mining and intent targeting efforts of TripIt. And travel is by no means unique; try any of your normal brands.

Marketing 144
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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

PDPs for the bicycle count prediction model (Molnar, 2009). The surrogate model is often a simple linear model or a decision tree, which are innately interpretable, so the data collected from the perturbations and the corresponding class output can provide a good indication on what influences the model’s decision.

Modeling 139
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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.