Busting AI Myths: "You Need Tons of Data for Machine Learning"

Written by FrederikBussler | Published 2019/09/16
Tech Story Tags: data | machine-learning | ai | startups | artificial-intelligence | hackernoon-top-story | aws | big-data | web-monetization

TLDRLeading researchers like Karl Friston describe AI as "active inference" —creating computational statistical models that minimize prediction-error. The human brain operates much the same way, also learning from data. A common argument goes:via the TL;DR App
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Written by FrederikBussler | Published author and writer.
Published by HackerNoon on 2019/09/16
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