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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Embracing AI for clinical trials: The elements of success By embracing three AI-enabled capabilities, biopharma companies can significantly optimize clinical trial site selection process while developing core AI competencies that can be scaled out and saving financial resources that can be reinvested or redirected.

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How Big Data Has Revolutionized the Gaming Industry

Smart Data Collective

CIO shared a report showing that Minecraft invested $2.5 According to the SensorTower statistics , in 2019, a simple arcade game Stack Ball reached 100 million installs and only continued to grow. In 2014, there were about 1.82 Microsoft works with bug reports and one of their current goals is to optimize Windows 10 for gaming.

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The Wide World of Data: Enter the Datasphere

Sisense

It’s so significant that in 2014, the UN established its Data Revolution Group to recommend how data can optimize its role as a force for good in sustainable development. Better data and statistics will help governments track progress and make sure their decisions are evidence-based; they can also strengthen accountability.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. In isolation, the $x_1$-system is optimal: changing $x_1$ and leaving the $x_2$ at 0 will decrease system performance.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

For us, demand for forecasts emerged from a determination to better understand business growth and health, more efficiently conduct day-to-day operations, and optimize longer-term resource planning and allocation decisions. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. OTexts, 2014.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

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Discover 20 Essential Types Of Graphs And Charts And When To Use Them

datapine

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?