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I recently started experimenting with machine learning on elmah.io. I chose ML.NET as the framework and I'm pretty happy with the results so far. The amount of documentation is good but mostly limited to flower detection samples (using the frequently used Iris data set). In this post, I'll share how we implemented anomaly/spike detection and which problems we ran into.
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