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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

But in 2013 and 2014, it remained stuck at 83% , and while in the ten years since, it has reached 95% , it had become clear that the easy money that came from acquiring more users was ending. The next generation will shape human cognition, creativity, and interaction even more profoundly. The market was maturing. I think not.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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Assembly required: 8 myths about knowledge management debunked

CIO Business Intelligence

This knowledge, generated through observation, reflection, study, and social interaction, led to a new companywide policy: “Let the grinder warm up for 15 minutes,” resulting in millions of dollars of extra profit at no additional cost. Serendipitous interactions are important for creative, innovative, or nonformulaic activities.

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Designing Charts and Graphs: How to Choose the Right Data Visualization Types

datapine

Data-driven storytelling is a powerful force as it takes stats and metrics and puts them into context through a narrative that everyone inside or outside of the organization can understand. In our example above, we are showing Sales by Payment Method for all of 2014. Tables interact primarily with the verbal system – we read tables.

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

IBM Big Data Hub

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. Recommendations can be presented through an interactive dashboard to facilitate understanding and enable stakeholders to make informed decisions.

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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. This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad.

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

datapine

For instance, in the medical field, analyzing relationships between diseases and gene interactions can help discover a treatment for a particular disease. The metrics are different and useful independently, but together, they tell a compelling story. Tables interact primarily with the verbal system – we read tables.