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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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Give up those Measures and Metrics to Succeed – Really

Andrew White

The period was between 1961 and 2017, when Hong Kong grew from about a quarter as rich as the UK to almost 40%. India built up a massive central statistical office to track everything, and the central government expanded to start planning more and more. Quite an interesting thought – giving up on our metrics and measures….

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How Formula 1 Teams Leverage Big Data for Success

Smart Data Collective

‘ It’s not about big data ,’ said Christian Dixon at Mercedes back in 2017, ‘it’s about the right data.’ At one US Formula 1 Grand Prix, it was estimated nearly as much data was transmitted by the competing teams as is stored in the US Library of Congress! of performance improvement.

Big Data 129
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IT leaders uplift women to fill tech talent gaps

CIO Business Intelligence

Yet in the cybersecurity field, women only account for about one quarter (24%) of the overall workforce, albeit, up from 11% in 2017, according to the ISC2 Women in Cybersecurity report. A 2020 World Economic Forum report found that women make up a similar percentage (26%) of data and AI positions in the workforce. That’s the real issue.”.

IT 135
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PASS Financials: past, present and the Future:

Jen Stirrup

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. Current Ratio.

Metrics 104
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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

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Fact-based Decision-making

Peter James Thomas

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Integrity of statistical estimates based on Data. For example: Is this a good way to define New Business Growth?

Metrics 49