Remove 2017 Remove Measurement Remove Metrics Remove Testing
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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

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The change management Informatica needed to overhaul its business model

CIO Business Intelligence

billion business, and every dollar goes through a set of business processes and applications that didn’t exist in 2017. Then at the other end, we did a fantastic job involving the sales operations, finance, and marketing teams in the testing and design, and we did a great job training people. Today, we’re a $1.6

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INE Security Enables CISOs to Secure Board Support for Cybersecurity Training

CIO Business Intelligence

CISOs are increasingly anxious because while they realize the ax will fall on them when the inevitable breach occurs, securing boardroom support for heavy investment in preventative measures, like training, is challenging in a world where revenue is demanded for each dollar spent. “The million compared to those with lower levels.

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What are model governance and model operations?

O'Reilly on Data

In a previous post , we noted some key attributes that distinguish a machine learning project: Unlike traditional software where the goal is to meet a functional specification, in ML the goal is to optimize a metric. A catalog or a database that lists models, including when they were tested, trained, and deployed.

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The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

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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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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Mobile content consumption, behavior along key metrics (time, bounces etc.)

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