# https://youtube.com/live/YHnCF2pDs2Y?feature=share 1. 일시: 2024.5.9.(목), 14:00~16:00 2. 장소: 판교 테크노밸리 산업수학혁신센터 세미나실 - 경기 성남시 수정구 대왕판교로 815, 기업지원허브 231호 국가수리과학연구소 - 무료주차는 2시간 지원됩니다. 3. 발표자: 김우진 교수(KAIST) 4. 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.