Thank you hashtag#AlexZap for posting the the ML examples. It’s really interesting (for me) that some of the techniques used (K-Means) are 100% relative to my ancient experiences working with 3D Point data from clay models for the automotive industry. The X-Y point coordinates relate back to the data points for ML. My expertise was fitting Bezier curves through the set of points and where to ignore the outliers. It is the same logic but a much smaller scale. This is not meant to minimize your work at all, but I found it very relatable to an obscure skillset I’ve used in the past.
I will set up some of your examples to gain a better understanding of how it’s applied for fraud detection.
Kevin Boling, Senior Product Manage
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