Remove 2011 Remove Data Collection Remove Measurement Remove Modeling
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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. Overview Human-labeled data is ubiquitous in business and science, and platforms for obtaining data from people have become increasingly common. And for thousands of years, measurement was as simple as this.

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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. According to Mohammed, the results of this digital transformation journey are measurable and impressive. js and React.js.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do.

Metrics 156
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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Known as the person who coined the term Lambda Architecture, co-author Nathan Marz is a well-renowned expert in the field of big data and programming. Most people are aware that companies collect our GPS locale, text messages, credit card purchases, social media posts, Google search history, etc.,

Big Data 263
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Analytics and BI Bake-Off Rocks Data & Analytics Summit LIVE and IN PERSON, 2022!

Rita Sallam

For the vendors that participate in the Bake-Off, it is in equal measure fun and extremely stressful. At a global level the number of people without reliable access to electricity spiked in 2011. Several of the KPIs measured around promoting inclusive and sustainable economic growth and employment for all are highly correlated.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. We conclude with an example of our forecasting routine applied to publicly available Turkish Electricity data. Finally, the time series model may give more accurate forecasts than an explanatory or mixed model.

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Unintentional data

The Unofficial Google Data Science Blog

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. What is to be done?