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Business Intelligence and the COVID-19 Pandemic

Paul Blogs on BI

Some universities and institutions have built out predictive models based on this data which are even more likely to be erroneous. Controlling costs will be important for a lot of organizations in the coming months and I plan to write about this in an upcoming blog. What worked in the past, may not be what is needed right now.

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Structural Evolutions in Data

O'Reilly on Data

” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” The elephant was unstoppable. Until it wasn’t.

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Three cool benefits: 1. Short story #2: Predictive Modeling, Quantifying Cost of Inaction. The work of the New York Times team inspired me it to do some predictive modeling for inaction in our world of digital marketing.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

[Note: In more technical machine learning terms, the cost function of the skip-gram architecture is to maximize the log probability of any possible context word from a corpus given the current target word.] With CBOW, it is the inverse: The target word is predicted based on the context words. A major benefit of fastText.