Understanding the Behavior of Time Series Data Using the Matrix Profile

It can be difficult to find anomalous behavior in data or pinpoint what metrics could potentially be related.
In order to understand the behavior of data at scale, there is the open-sourced Python library - matrixprofile. Using this library, we can use the Matrix Profile to find when anomalous behavior occurs or when different metrics in different areas of the company seemingly affect each other.
This talk, Frankie Cancino, Senior AI Scientist at Target AI, goes over the matrixprofile library and examples of where it can be applied.
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[@abolfazlzeraatkar2425]

that's very good and useful video, thanks

[@BuzzRobot]

Thanks for taking the time to watch. Let me know if there are any topics that you are interested in. We'll try to arrange a talk on the topic.

[@kseniyachernobay530]

slack link is no longer active. will you be so kind and provide a new one?