The biggest machine learning use cases for large businesses all involve one factor: Customers.
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Rapids brings GPU acceleration to big data analytics
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Seafaring vessels and offshore platforms endure a constant battery of waves and currents. Over decades of operation, these structures can, without warning, meet head-on with a rogue wave, freak storm, or some other extreme event, with potentially damaging consequences.
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If you want to teach a child what an elephant looks like, you have an infinite number of options. Take a photo from National Geographic, a stuffed animal of Dumbo, or an elephant keychain; show it to the child; and the next time he sees an object which looks like an elephant he will likely point and say the word.
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Three-quarters of executives said big data and analytics will be critical to their business strategy over the next three years, according to an NTT Data report.
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Microsoft’s TensorFlow-compatible machine learning framework debuts a reworked API for more flexible pipelines and improved prediction performance
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When learning, machine learning will make mistakes. Adopters need to anticipate that—and be careful not to make matters worse through human mistakes by IT and business
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Machine learning opens up new avenues for Internet of Things, NLP, and self-teaching AI. Machine learning jobs are in hot demand, the human adaptability to machine learning has led to a heavy reliance on robotic process automation. Machine learning algorithms assist IT operations teams to find the root cause of issues.
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Machine learning algorithms can now approach or exceed human intelligence across a remarkable number of tasks.
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