How the Elastic stack can be used for outlier detection.
Details
THIS IS A FREE EVENT - PLEASE FINISH YOUR RSVP IN THE LINK BELOW
About the talk:
Join us for a joint meetup with Santa Clara-based meetup group, AI in Testing and Testing AI. In this talk we'll explore AirBnB listings, looking for really unusually good deals of where we might like to stay with a group of friends. Come and daydream of a post-pandemic world with us!
A common application of Machine Learning is to build models that can understand what's "normal" and can be ignored, and what is an interesting deviation from the norm we should be worried about - or learn from! The Elastic Stack includes a Machine Learning module which provides you with the infrastructure for running anomaly detection: running jobs, safeguarding data; storing, viewing and visualising the results.
About the speaker:
Emanuil Tolev is a Community Developer Advocate with Elastic, the company behind the open source Elastic Stack (Elasticsearch, APM, Kibana, Beats, Logstash, etc). Emanuil helps support the Elastic community of users and developers by listening carefully, writing demo software and educating developers about search and analytics & visualisation. See more of Emanuil's talks on the Elastic Community YouTube channel.
Agenda
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Hosted By
Jared Pane, Co-Organizer
I am a Senior Solutions Architect for Elastic working with State, Local Government, and Higher Education in the West. Prior to joining Elastic, I worked at Red Hat as a DevOps Specialist helping to build, streamline, and secure Open Source initiatives throughout the State, Local, and Higher Education Community in the West. I am currently a contributing member to the State of California Open Source Policy, helping to build software integrations that accelerate application development, deployment, performance, monitoring and security.
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THIS IS A FREE EVENT - PLEASE FINISH YOUR RSVP IN THE LINK BELOW
How the Elastic stack can be used for outlier detection.