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1. 1. Scalable Machine Learning through Approximation and Distributed Computing

   Författare :Theodore Vasiloudis; Anders Holst; Henrik Boström; Seif Haridi; Daniel Gillblad; Indre Žliobaitė; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Online Learning; Distributed Computing; Graph Similarity; Decision Trees; Gradient Boosting;

   Sammanfattning : Machine learning algorithms are now being deployed in practically all areas of our lives. Part of this success can be attributed to the ability to learn complex representations from massive datasets. LÄS MER