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Why you should care about debugging machine learning models

O'Reilly on Data

For model training and selection, we recommend considering fairness metrics when selecting hyperparameters and decision cutoff thresholds. 1] “All models are wrong, but some are useful.” — George Box, Statistician (1919 – 2013). [2] 17] Hopefully some of these techniques will work for you and your team.

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Using DataOps to Drive Agility and Business Value

DataKitchen

Chapin shared that even though GE had embraced agile practices since 2013, the company still struggled with massive amounts of legacy systems. One of the keys for our success was really focusing that effort on what our key business initiatives were and what sorts of metrics mattered most to our customers.

Metrics 211
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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data. It can come in handy when tracking, analyzing, and sharing metrics connected with employee performance. The Underlying Concept.

Big Data 145
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YouTube Marketing And Analytics: A Primer For Magnificent Success

Occam's Razor

According to Nielsen, YouTube reaches more US adults ages 18-34 than any cable network as of mid-2013. As of March 2013, one billion, (B!), One more thing to ponder… One hundred hours of video is uploaded into YouTube every single minute, as of May 2013. I'm not a fan of compound metrics. How cool is that!

Marketing 151
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5-Star Linked Open Elections Data 

Ontotext

For these reasons, we have applied semantic data integration and produced a coherent knowledge graph covering all Bulgarian elections from 2013 to the present day. Easily accessible linked open elections data.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

In 2013, less than 0.5% Created by storytelling expert Cole Nussbaumer Knaflic , this methodical handbook is not only entertaining, but it also provides deep-rooted insights into a branch of data science that is often overlooked: the art of storytelling through metrics. Why You Need To Read Data Science Books.

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7 Data Presentation Tips: Think, Focus, Simplify, Calibrate, Visualize++

Occam's Razor

Finally, this is picky, but why is most of the x-axis yearly and then suddenly just until Q2, 2013? If I had the raw data, I would also fix the x-axis and representation of the partial 2013 data. Yes, cost per click is metric. The metric CPC aside, we do present data like this all the time. Watch out for these errors.