MACHINE LEARNING BASED ARTIFICIAL INTELLIGENCE MODEL LEARNING DEVELOPMENT DEPLOYMENT AND OPERATION SYSTEM SERVICE METHOD USING THE SAME

MACHINE LEARNING BASED ARTIFICIAL INTELLIGENCE MODEL LEARNING DEVELOPMENT DEPLOYMENT AND OPERATION SYSTEM SERVICE METHOD USING THE SAME

Disclosed are a machine learning-based artificial intelligence model learning, development, deployment and operating system and a service method using the same. According to the present invention, artificial intelligence analysts of companies can set up individual and project to build a personalized...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: KIM DAE HYUN, LIM YOUNG HOON, JOO JEONG HO
Format: Patent
Sprache:eng ; kor
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:Disclosed are a machine learning-based artificial intelligence model learning, development, deployment and operating system and a service method using the same. According to the present invention, artificial intelligence analysts of companies can set up individual and project to build a personalized analysis environment. The present invention can selectively utilize various open source analysis tools and languages by taking a portal solution as a form of a portal, and has the advantage of being flexible and highly extensible through the use of various tools. 머신러닝 기반 인공지능 모델 학습, 개발, 배포 및 운영 시스템과 이를 이용한 서비스 방법을 개시한다. 본 발명은 기업의 인공지능 분석가들이 개인별, 프로젝트별 세팅이 가능하여 개인 맞춤형으로 분석환경을 구축할 수 있고, 포탈 솔루션으로 포털 형식을 취함으로써 다양한 오픈 소스 분석툴 및 언어를 선택적으로 활용할 수 있으며, 다양한 툴의 활용을 통해 유연하고 확장성이 높은 장점이 있다.