학술행사
- 발표자 김우진 교수(KAIST)
- 조직위원 산업수학혁신센터
- 기간 2024-05-09 ~ 2024-05-09
- 장소 판교 테크노밸리 산업수학혁신센터 세미나실
- 주최 산업수학혁신센터
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일시: 2024.5.9.(목), 14:00~16:00
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장소: 판교 테크노밸리 산업수학혁신센터 세미나실
- 경기 성남시 수정구 대왕판교로 815, 기업지원허브 231호 국가수리과학연구소
- 무료주차는 2시간 지원됩니다.
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발표자: 김우진 교수(KAIST)
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주요내용: Topology and Data
Due to unprecedented technological advances in recent decades, scientists across diverse fields have been increasingly confronted with a deluge of complex and high-dimensional data. Consequently, identifying and exploiting the underlying structure of such data has emerged as a fundamental challenge in data analysis and machine learning. Topological Data Analysis (TDA) has emerged as a field providing a suite of tools for studying the structure of complex data through the application of topological and geometric principles. Among others, persistent homology is a central concept in TDA. This talk provides an introductory overview of persistent homology, including its modern generalization.
*유튜브 스트리밍 예정입니다.
-
일시: 2024.5.9.(목), 14:00~16:00
-
장소: 판교 테크노밸리 산업수학혁신센터 세미나실
- 경기 성남시 수정구 대왕판교로 815, 기업지원허브 231호 국가수리과학연구소
- 무료주차는 2시간 지원됩니다.
-
발표자: 김우진 교수(KAIST)
-
주요내용: Topology and Data
Due to unprecedented technological advances in recent decades, scientists across diverse fields have been increasingly confronted with a deluge of complex and high-dimensional data. Consequently, identifying and exploiting the underlying structure of such data has emerged as a fundamental challenge in data analysis and machine learning. Topological Data Analysis (TDA) has emerged as a field providing a suite of tools for studying the structure of complex data through the application of topological and geometric principles. Among others, persistent homology is a central concept in TDA. This talk provides an introductory overview of persistent homology, including its modern generalization.
