本课程将帮助您掌握投资管理领域的机器学习方法。课程由两位该领域的思想领袖设计,他们分别是来自 EDHEC-Risk Institute 的 Lionel Martellini 和来自普林斯顿大学的 John Mulvey。课程将从基础知识入手,帮助您掌握理解数据科学的实用技能,从而做出最佳的投资组合决策。 课程将首先介绍机器学习的基础知识,然后深入讨论这些技术在投资组合管理决策中的应用,包括设计更稳健的因子模型、构建具有更好多样化优势的投资组合,以及实施更高效的风险管理模式。
Good overview on Machine Learning techniques, need for some basic knowledge in statistics and Python for an optimized experience.
S
ST
5·
已于 Apr 9, 2020审阅
The topics covered in this course are really interesting. I learned a great deal by studying various papers covered in this course - Thank you to both instructors!
A
AJ
4·
已于 May 30, 2020审阅
Please consider adding additional videos for the lab sessions, as one can not gain the Machine Learning python coding skills from PPT slides!