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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

This blog post discusses such a comprehensive approach that is used at Youtube. Crucially, it takes into account the uncertainty inherent in our experiments. In this section we’ll discuss how we approach these two kinds of uncertainty with QCQP. And we can keep repeating this approach, relying on intuition and luck.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

In this blog post, we explore three types of errors inherent in all financial models, with a simple example of a model in TensorFlow Probability (TFP). All models, therefore, need to quantify the uncertainty inherent in their predictions. These factors lead to profound epistemic uncertainty about model parameters. References.

Modeling 133
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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

According to the Geophysical Fluid Dynamics Laboratory of the US’s National Oceanic and Atmospheric Association (NOAA), “Climate models reduce the uncertainty of climate change impacts, which aids in adaptation.” Global Change Research Program, 2017. Copernicus, Jan. link resides outside ibm.com). 1211–1362.

Modeling 115
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Simulation for better decision making

Cloudera

Derman (2016), Cesa (2017) & Bouchard (2018)). Blog Post, Nov-2016. Probability, Uncertainty and Quantitative Risk (2017) 2:6. The post Simulation for better decision making appeared first on Cloudera Blog. These examples are well covered by many others (e.g., A Stylized History of Quantitative Finance”.

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. and Karra Taniskidou, E.

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6 ecommerce trends to watch

IBM Big Data Hub

a new living room couch—consumers can reduce uncertainty and the likelihood of returning a product by “trying it out” in their living room. For example, since 2017 Dominos has operated its own app for mobile devices through which customers can quickly order a pizza.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

That’s the focus of this blog post. Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. To help ground these terms, imagine you have a bathroom scale.