Scalable Machine Learning for Big Data

Sammanfattning: We describe each step along the way to create a scalable machine learning system suitableto process large quantities of data. The techniques described in the report will aidin creating value from a dataset in a scalable fashion while still being accessible tonon-specialized computer scientists and computer enthusiasts. Common challenges inthe task will be explored and discussed with varying depth. A few areas in machinelearning will get particular focus and will be demonstrated with a supplied case-studyusing weather data courtesy of the Swedish Meteorological and HydrologicalInstitute.