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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. In the absence of regulation, many blockchain pilot projects were at risk of ending up absolutely impractical. What about challenges?

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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

My narrower vision of the next advancement in analytics is driven (or biased) by my quantitative risk management background and the critical role that computational simulation capabilities have played in many advances in the world of finance. Derman (2016), Cesa (2017) & Bouchard (2018)). Mauro Cesa. “A Additional resources.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.

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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. Define the enemy: What are the risks? The fourth value is ‘Never Give Up,’ which is so powerful.

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The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions. and an error term ??