While we wait for robots to take over the world, AI companies have focused on using this technology to engage us in conversation, understand what we want to buy and help us tackle fraud. It is now time to put AI to real work.
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Who says natural language processing and fashion don't overlap? Zalando research brings the latest flair to the scene with their framework based on PyTorch.
Sourced through Scoop.it from: jaxenter.com
The analysis of sensor data of machines, plants or buildings makes it possible to detect anomalous states early and thus to avoid further damage. For this purpose, the monitoring data is searched for anomalies. By means of machine learning, anomaly detection can already be partially automated.
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The machine learning systems coming to market now are beginning to provide simpler interfaces that allow people other than data scientists to work with anomalies, fine tune to minimize false positives and false negatives, and otherwise manage their businesses with improved accuracy.
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Tom Merritt explains the five ways human error can create issues with machine learning.
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Today we typically equate "big data" and "social media" but that is largely because of social data's widespread machine-friendly availability, yet this over reliance has constrained the questions we can ask about human society. With a bit of creativity, news media can become truly "big data."
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There is a universe of data out there and humanity is developing the technical tools to deal with it.
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2019-01-07 00:00:00 … WASHINGTON – As the partial government shutdown approaches a record length, President Donald Trump will visit the nation’s southern … WASHINGTON – As the partial government shutdown approaches a record length, President Donald Trump will visit the nation’s southern border on Thursday to promote his wall plan, officials said Monday. Trump will “meet with those on […]
A new industry survey captures the state of corporate Big Data and AI investment.
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