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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., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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Coaching your IT team for change: 9 tips

CIO Business Intelligence

One Gartner study found that willingness to support organizational change dropped from 74% of employees in 2016 to just 43% in 2022. I try and build a culture where everything is hypothesis-driven and experimental,” says Digiterre’s Jethwa. In this case, your teams won’t build the psychological safety they need to adapt.

IT 136
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Edward Jones’ CIO Frank LaQuinta plays to win

CIO Business Intelligence

He came to Edward Jones in 2016 after a 30-year career in technology on Wall Street and was named chief information officer in 2018. Leveraging the right technical solutions for unique business problems will require experimentation and will result in advances in the technology supported across teams.

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When models are everywhere

O'Reilly on Data

Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. YouTube’s algorithm was measuring what kept viewers there the longest, not what they wanted to see, and feeding them more of the same.

Modeling 188
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The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

The probability of an event should be measured empirically by repeating similar experiments ad nauseam —either in reality or hypothetically. As the number of experimental trials N approaches infinity, the probability of E equals M/N. As the number of experimental trials N approaches infinity, the probability of E equals M/N.