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by Celia Zhang | Mar 8, 2023 | Machine Learning
1. Description Anomaly detection, also known as outlier detection, is a group of problems which purpose is to find out the samples perform differently from the majority. It is applied in so many domains: fraud detection in finance and insurance, default detection in...
by Sotifa R. Adidagacila | Jul 27, 2019 | Beyond Data, Big Data, Machine Learning
WHAT ARE RECOMMENDATION SYSTEMS ? We all wonder how Amazon or Netflix came to such “power” and success? How can Netflix know about our movie preferences? How did Amazon know the unconditional Games of Thrones’ fan that I am, that I love The North Face and...
by Sotifa R. Adidagacila | Oct 24, 2018 | DevOps, Machine Learning
MEASURING PERFORMANCE INDICATORS WITH ELK Monitoring and measuring IT applications’ performance indicators are a major challenge for companies. The evolution of technologies around qualification, storage and processing big data as well as machine learning has made it...