Remove 2013 Remove Measurement Remove Metrics Remove Testing
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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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. Zimmer wholeheartedly agreed.

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Six keys to achieving advanced container monitoring

IBM Big Data Hub

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Containerization helps DevOps teams avoid the complications that arise when moving software from testing to production.

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Why you should care about debugging machine learning models

O'Reilly on Data

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Because ML models can react in very surprising ways to data they’ve never seen before, it’s safest to test all of your ML models with sensitivity analysis. [9] Residual analysis.

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Eight Silly Data Things Marketing People Believe That Get Them Fired.

Occam's Razor

[A benchmark for you: In 2013 if 30% of your time, Ms./Mr. Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. It is a really good metric. They get you fired.

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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. And yes, finally, there is the problem of measurement.

Marketing 149
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Digital Marketing And Analytics: Two Ladders For Magnificent Success

Occam's Razor

One that reflects the customer expectations of 2013. To learn more about the Do in stage one please review my See-Think-Do-Coddle framework for content, marketing and measurement.]. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Look at the colors. Look at the icons. Beat Motrin.

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