主题｜Topic：机器学习导论与其在零售业和保险业中的应用
时间｜Time：12月4号（周二）｜Dec. 4th (Tuesday), 9：30 - 11：30AM
地点｜Venue：文添楼401室教室｜Lecture Room 401，WENTIAN
主讲｜Speaker
刘燊博士目前为KPMG（毕马威）总监，负责项目、客户管理，数据分析、建模。他曾就职于澳大利亚 Woolworths 集团，任职高级数据科学家，负责设计、开发及运维 Woolworths 情绪分析平台等。他主要研究方向为数据挖掘与机器学习。已发表论文在Science of The Total Environment，Journal of Ultrasound in Medicine，Agriculture, Ecosystems and Environment 等期刊上。
研究领域｜Research Interests
数据挖掘与机器学习
Machine Learning and Data Mining
摘要｜Abstract
Abstract: In this lecture, we will go through some fundamental concepts in machine learning, such as supervised learning, unsupervised learning, loss function, optimization, hyper-parameter tuning, model diagnostics, etc. In particular, we will have a discussion on the topics related to deep learning, including architectures, implementations and domains of application. We will conclude the lecture by two case studies, namely, AI-assisted sentiment analysis and the future of insurance pricing.
