HCLGMLApr 3, 2018

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

arXiv:1804.01382v1
Originality Synthesis-oriented
AI Analysis

This provides a solution for non-programmers needing to perform data analysis, but it is incremental as it builds on existing ML tools with a user-friendly interface.

The paper tackles the problem of machine learning tools requiring programming knowledge by introducing Vanlearning, a SaaS application that enables users to analyze data without coding or ML expertise through simple mouse clicks, resulting in a system that reduces server computational cost and is easy to maintain.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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