[Online Talk] Outlier detection with the Elastic Stack

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Details
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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.
Speaker Bio:
Emanuil is a Community Engineer with Elastic, the company behind the open source Elastic Stack (Elasticsearch, APM, Kibana, Beats, Logstash, etc). He's based in London. He ran a small open science web dev consultancy with partners for several years. Interested in mentorship, inclusion, small businesses, archery and always curious about how the world works in detail.

[Online Talk] Outlier detection with the Elastic Stack