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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Crucially, it takes into account the uncertainty inherent in our experiments. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. In this section we’ll discuss how we approach these two kinds of uncertainty with QCQP.

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A Year After: Has Blockchain Changed Advertising by 2022?

Smart Data Collective

In 2019, this environment evolved, multiplying the number of blockchain marketing startups from 22 (2017) to 290 (2019) , which is more than 13 times in a year. Regulatory uncertainty, poor awareness, and lack of professionals are still challenges that stand in the way of the mass deployment of such solutions.

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5 Things CFOs of Multinational Companies Need to Know About the OECD Transfer Pricing Guidelines

Jet Global

Although the most recent updates to the Organization for Economic Cooperation and Development (OECD) guidelines took place in 2017, some CFOs of multinational companies still don’t fully understand the implications of those changes, and how the changes affect transfer pricing at their companies.

Risk 98
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Simulation for better decision making

Cloudera

Derman (2016), Cesa (2017) & Bouchard (2018)). Probability, Uncertainty and Quantitative Risk (2017) 2:6. These examples are well covered by many others (e.g., Trades, Quotes and Prices: Financial Markets Under the Microscope, Cambridge University Press, 2018. Mauro Cesa. “A A Brief History of Quantitative Finance”.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

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Little Caesars’ CIO on achieving ‘Mission Impossible’

CIO Business Intelligence

With a talent for developing people and inspiring innovation from her teams, Anita Klopfenstein has built a powerhouse IT organization since joining Little Caesars in 2017 as its CIO. We’re actually gearing up to test it in a store. One of the secrets behind her success as a leader is her love of learning.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

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. But for more complicated metrics like xRR, our preference is to bootstrap when measuring uncertainty.