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논문검색

Technology Convergence (TC)

Analysis on Trends of No-Code Machine Learning Tools

원문정보

초록

영어

The amount of digital text data is growing exponentially, and many machine learning solutions are being used to monitor and manage this data. Artificial intelligence and machine learning are used in many areas of our daily lives, but the underlying processes and concepts are not easy for most people to understand. At a time when many experts are needed to run a machine learning solution, no-code machine learning tools are a good solution. No-code machine learning tools is a platform that enables machine learning functions to be performed without engineers or developers. The latest No-Code machine learning tools run in your browser, so you don't need to install any additional software, and the simple GUI interface makes them easy to use. Using these platforms can save you a lot of money and time because there is less skill and less code to write. No-Code machine learning tools make it easy to understand artificial intelligence and machine learning. In this paper, we examine No-Code machine learning tools and compare their features.

목차

Abstract
1. INTRODUCTION
2. NO-CODE MACHINE LEARNING TOOL
2.1 Teachable Machine
2.2 StackML
3. ANALYSIS OF NO-CODE MACHINE LEARNING TOOLS
4. CONCLUSION
REFERENCES

저자정보

  • Yo-Seob Lee Professor, School of ICT Convergence, Pyeongtaek University
  • Phil-Joo Moon rofessor, Dept. of Information & Communications, Pyeongtaek University

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