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Moving Enterprise Data From Anywhere to Any System Made Easy

Cloudera

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

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Moving Enterprise Data From Anywhere to Any System Made Easy

CIO Business Intelligence

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations. Data Center

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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. For the first couple of interactions, give her/him that data. In my case the interactive elements which are useful are clearly displayed above. It will save you hours and hours of time, effort and focus.

Metrics 141
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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. After forming the X and y variables, we split the data into training and test sets. 2015) for additional details.

Modeling 139
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Decision-Making in a Time of Crisis

O'Reilly on Data

Thinking in Bets , Annie Duke’s 2018 book about making decisions under uncertainty, has many analogous examples operating under both risk and uncertainty, such as the infamous 2015 Super Bowl XLIX Seahawks’ decision to pass the ball in the final 26 seconds. This may be true, but the downside risk in this case could be fatal.