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Computer vision transforms tennis coaching at Billie Jean King Cup

CIO Business Intelligence

The technology made its debut at the Australian Open in 2003 and Wimbledon in 2007, and it provides the foundation for electronic line calling for the sport. One of the key things that we were looking at was what were the most important metrics and how can they be communicated effectively,” Capel-Davies says.

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Teaching AI to Smell by Using DataRobot

DataRobot

It was introduced in 1980 but open-sourced in 2007, which created its widespread use. DataRobot also provides per-label metrics so that metrics per class can be compared. Below are the per-label metrics provided by DataRobot for model evaluation purposes. Each molecule has a combination of multiple smells.

Metrics 52
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BI Data Lineage Solutions: Your Trusted Guide For Success

Octopai

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. A key piece of legislation that emerged from that crisis was BCBS-239.

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Make Every Sprint Count with DevOps Analytics

Sisense

DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. Most of the metrics you will want to measure will fall into these three categories: 1. Nothing beats the visual impact of a chart to display the hard work of the entire team.

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Knowledge

Occam's Razor

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. "Engagement" Is Not A Metric, It's An Excuse. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics. Six Data Visualizations That Rock! How do I choose well?

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How Finance is Leveraging Automated Data Lineage for Regulations Compliance

Octopai

The worldwide economy was shaken in 2007 when the United States stock market had its largest drop since the Great Depression. In 2007 many high-risk sectors of the financial industry such as hedge funds, depended on complex data. In reality, banks have hundreds of metrics to regulate, most coming from distinct systems.

Finance 52
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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.