3 ways to massively fail with machine learning (and one key to success) - TechRepublic
Though everyone seems to be piling on the machine learning bandwagon, it's a game that only the rich can play, as I've written. While open source machine learning projects like Google's TensorFlow and Amazon's DSSTNE lower the bar to would-be machine learning engineers, resolving the skills deficit that Gartner analyst Merv Adrian called the biggest hurdle to machine learning success, no amount of training can resolve a thornier issue: Lack of data.
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Friday, July 14, 2017
3 ways to massively fail with machine learning (and one key to success)
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