2017 is the year of Machine Learning. Here’s why
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Is machine learning approaching its end? What we are seeing now is a humble beginning.Here are the 3 trends to keep an eye out for in 2017
Machine Learning and cloud
The provisioning of Cloud-based IT services was a decent stride to make Data Science a mainstream activity, and now with Cloud and bundled algorithms, moderate sized smaller businesses will have entry to Self-Service BI and
Efficiency
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If you’re attempting to discover a killing AI app, the increasingly pervasive nature of the
Smart Machines
If the danger of intelligent machines assuming control Data Scientists is truly as genuine as it is made out to be, then 2017 is presumably the year when the worldwide Data Science community should investigate the capabilities of alleged smart machines. The rehashed failure of autonomous cars has made one point clear – that learning machines can't outperform the natural thinking resources provided by nature on human beings. If autonomous or independently directed machines must be valuable to human culture, then the ebb and flow
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