Sökning: "hard data partitioning"

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1. 1. Machine learning algorithms in a distributed context

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Samuel Johansson; Karol Wojtulewicz; [2018]
   Nyckelord :Machine learning; ensemble algorithms; hard data partitioning; decision trees;

   Sammanfattning : Interest in distributed approaches to machine learning has increased significantly in recent years due to continuously increasing data sizes for training machine learning models. In this thesis we describe three popular machine learning algorithms: decision trees, Naive Bayes and support vector machines (SVM) and present existing ways of distributing them. LÄS MER