The MathNet Korea
Information Center for Mathematical Science

세미나

Information Center for Mathematical Science

세미나

KAIST 수리과학과 세미나
Title [BK21] 실리콘밸리에서의 데이터 과학과 기계학습의 응용과 통계학자의 역할
Date 2018-09-12
Speaker 권재명(Apple Inc.)
Sponsors 2018-09-12
Host KAIST
Place 자연과학동(E6-1) Room 2411
Abstract In part I, we present a short overview of typical data science (DS) and machine learning (ML) projects in Silicon Valley tech companies, using problems in transportation science and online advertising industry as examples. In part II, we present a few ways statisticians can contribute to the success of such projects, and how they can be more equipped to make positive impacts. In part III, we present a case study in anomaly detection, a massive-scale learning problem that is central to many applications in many businesses and science. We explore some of the challenges including modeling, scaling, methods for assessing and visualizing performance, probability calibration, and automated monitoring.