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Vanlearning: A Machine Learning SaaS Application for People Without Programming Backgrounds

2018/04/03 by Chaochen Wu, Wu, Chaochen
Computer Science · #Cloud Computing and Resource Management #FOS: Computer and information sciences #Graph Theory and Algorithms #Human-Computer Interaction (cs.HC) #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Machine Learning (stat.ML)

paper · pdf · doi:10.48550/arxiv.1804.01382

openalex publication_date 2018/04/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Although we have tons of machine learning tools to analyze data, most of them require users have some programming backgrounds. Here we introduce a SaaS application which allows users analyze their data without any coding and even without any knowledge of machine learning. Users can upload, train, predict and download their data by simply clicks their mouses. Our system uses data pre-processor and validator to relieve the computational cost of our server. The simple architecture of Vanlearning helps developers can easily maintain and extend it.

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