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Machine learning — or artificial intelligence, if you prefer — is already becoming a commodity. Companies racing to simultaneously define and implement machine learning are finding, to their surprise, that implementing the algorithms used to make machines intelligent about a data set or problem is the easy part. There is a robust cohort of plug-and-play solutions to painlessly accomplish the heavy programmatic lifting, from the open-source machine learning framework of Google’s TensorFlow to Mi.
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@barrylibert: It’s clear that software has eaten the world. But it is still hungry! Software needs a steady diet of new data combined with new technologies to continue adding value. —@ + @. Free read ➔ mitsmr.com/2PCv2vC
@twilli2861: The Machine Learning Race Is Really a Data Race buff.ly/2BjcYBz pic.twitter.com/i79RRX9lH0
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Vía All News on ‘The Twitter Times: v/2019’ http://bit.ly/2BTpZSH