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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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NHL turns to venue metrics data to drive sustainability

CIO Business Intelligence

In October, the league, with partner SAP, launched NHL Venue Metrics, a sustainability platform that teams and their venue partners can use for data collection, validation, and reporting and insights. Sustainability is all about innovation and business optimization. SAP is the technical lead on NHL Venue Metrics.

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How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

AWS Big Data

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. S3 bucket as landing zone We used an S3 bucket as the immediate landing zone of the extracted data, which is further processed and optimized.

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Remove Your Rose Tinted Glasses: Data Visualizations Designed to Mislead

datapine

But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path. In the above example from the 2015 Congressional Hearing based on Planned Parenthood, we can see clear-cut results showing a rise in abortions and a drop in cancer-related health services.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles. have capabilities that lead to increased automation, predictive maintenance, self-optimization of process improvements and efficiencies that reduce both emissions and overall costs.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. 2015) for additional details. Neural machine translation by jointly learning to align and translate , ICLR, 2015. regression, multi-class classification etc.), See Wei et al.

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Get Context-Driven Natural Language Processing for the Best Search Results!

Smarten

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle, but powerful, concept of efficacy. Which sales representative sold the most pancake mix during April 2015 to May 2019?