원문정보
국제문화기술진흥원
International Journal of Advanced Culture Technology(IJACT)
Volume 8 Number 2
2020.06
pp.297-304
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Recently, open source automatic machine learning solutions have been applied in many fields. To apply open source automated machine learning to real world problems, you need to write code with expertise in machine learning. Writing code without machine learning knowledge is challenging. To solve this problem, the automatic machine learning solutions provided by startups are made easy to use with a clean user interface. In this paper, we review automatic machine learning solutions of startups.
목차
Abstract
1. INTRODUCTION
2. AUTO ML
3. AUTO ML SOLUTIONS OF STARTUPS
3.1 Auger.AI
3.2 TIMi Suite
3.3 Compellon
3.4 DataRobot
3.5 Kortical
3.6 MLJAR
3.7 Tazi.ai
3.8 Xpanse AI
4. ANALYSIS OF AUTO ML SOLUTIONS
5. CONCLUSION
REFERENCES
1. INTRODUCTION
2. AUTO ML
3. AUTO ML SOLUTIONS OF STARTUPS
3.1 Auger.AI
3.2 TIMi Suite
3.3 Compellon
3.4 DataRobot
3.5 Kortical
3.6 MLJAR
3.7 Tazi.ai
3.8 Xpanse AI
4. ANALYSIS OF AUTO ML SOLUTIONS
5. CONCLUSION
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보