Sep 23, 2016
Some system keeping data from different sources in high quality and in broad accessibility is the key to any successful application of machine learning. We introduce architecture of such system currently in place in Avast and discuss motivations and key decisions in its design. We further share various lessons learned on how to: build and operate the system that serves the needs of human data analyst, supports automated real-time decision making by machines, and makes it easy to learn and deploy new ML models.
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