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Marketing as a strategic business partner: mixing theory, research and #data

Jen Stirrup

I thought I’d share how we started to apply marketing theory, practice, and insights from data. So, organizations need a cohesive strategy which aligns all methods of communication to ensure consistency (Porter, 2001). The secret is the data. How do organizations know which way their decisions should land?

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You Need a Higher, More Reliable ROI

Andrew White

There are no cheap labor pools to join the WTO, as China did in 2001. Despite the dearth of case studies and press stories telling of wonderous tools and technologies, economic growth has not materialized driven by increased productivity. AI-driven Customer Experience. Data-driven or Analytics program.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts. To do this, you have a data set at the person level containing, among other variables, an indicator of ad exposure, and whether the person bought the truck.

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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. 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. 1998) and others).

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?