DSN 2014 Keynote: "Sibyl: A System for Large Scale Machine Learning at Google"
Large scale machine learning is playing an increasingly important role in improving the quality and monetization of Internet properties. A small number of techniques, such as regression, have proven to be widely applicable across Internet properties and applications. Sibyl is a research project that implements these primitives at scale and is widely used within Google. In this talk I will outline
Sibyl: Google's system for Large Scale Machine Learning - KDnuggets
Sibyl: Google’s system for Large Scale Machine Learning A review of 2014 keynote talk about Sibyl, Google system for large scale machine learning. Parallel Boosting algorithm and several design principles are introduced. Our lives are experiencing more and more benefits of machine learning. Take Google as an example, Google’s search autocomplete always saves my time. YouTube recommends a potential
Sibyl: A system for large scale supervised machine learning
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Inside Sibyl, Google's Massively Parallel Machine Learning Platform
Inside Sibyl, Google’s Massively Parallel Machine Learning Platform If you’ve ever wondered how your spam gets identified in Gmail or where personal video recommendations come from on YouTube, the answer is likely Sibyl, a massively parallel machine learning system that Google developed to make predictions and recommendations with user-specific data culled from its Internet applications. Dr. Tusha
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