In a previous article, we used NetEye and Elasticsearch to train a machine learning model able to classify documents about some collected radar signals, separating them into two categories (good vs bad), starting from an existing dataset. Afterwards, we applied it to new incoming documents using an Ingest Pipeline and the Inference Processor. Taking as…
Read MoreIn a previous article, we explored the Machine Learning capabilities of Elasticsearch, which allowed us to apply anomaly detection techniques to our data, and helped us discover some really interesting facts as a result of our analysis. But can we take that idea even further? For instance, could we use data we’ve already collected to…
Read MoreWe are proud to announce that two of our colleagues will hold a speech at this year’s South Tyrol Free Software Conference (SFScon 2016) which takes place on November, 11th at the IDM Südtirol at Bolzano.
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