Machine learning isn't a set-it-and-forget-it operation. Even with solid examples, ML algorithms can still fail and end up blocking important emails, filtering out useful content, and causing a variety of other problems.
In this report, industry analyst Ted Cuzzillo examines real-world examples of active learning and you'll discover, the point at which algorithms fail is precisely where there's an opportunity to insert human judgment to actively improve the algorithm's performance
Get your free report here from +O'Reilly
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