统计学系系列短课程

 

时间:

7月11日(星期三)9:00-11:45

7月11日(星期三)14:00-16:45

地点:复旦大学史带楼601室

主持人:黎德元 教授

主题:Deep Learning and Recommender System

主讲嘉宾:Prof. Annie Qu  University of Illinois at Urbana-Champaign

主讲人简介:Annie Qu(瞿培勇)教授是伊利诺伊大学香槟分校(UIUC)统计咨询中心主任,复旦大学上海千人计划教授,复旦大学讲座教授。

 

课程内容:

This short course will provide introductory of deep learning including architecture of deep learning, multi-layer perception, composition of deep learning, backpropagation, convolutional neural networks (CNN), properties of CNN, deep generative model, deep restricted Boltzmann machine (DBM), multimodal learning with DBM, and applications in deep learnings. In addition, I will also introduce recommender systems which track users' preferences and recommend items of interest effectively, including collaborative filtering under the singular value decomposition framework. The course will illustrate methods utilizing dependency information from users and items which share similar characteristics to solve the “cold start” problems. Through this course, students will gain practical skills of data mining and knowledge discovery in various applications such as business, political science, biology and medicine.

 

统计学系

2018-6-29