Browsing by Author "Andersson, Emanuel"

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    Scalable Machine Learning for Big Data
    (2014-09-22) Bredmar, Fredrik; Andersson, Emanuel; Bogren, Emil; Göteborgs universitet/Institutionen för data- och informationsteknik; University of Gothenburg/Department of Computer Science and Engineering
    We describe each step along the way to create a scalable machine learning system suitable to process large quantities of data. The techniques described in the report will aid in creating value from a dataset in a scalable fashion while still being accessible to non-specialized computer scientists and computer enthusiasts. Common challenges in the task will be explored and discussed with varying depth. A few areas in machine learning will get particular focus and will be demonstrated with a supplied case-study using weather data courtesy of the Swedish Meteorological and Hydrological Institute.