关于此 专项课程

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The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance. The specialization aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) mapping the problem on a general landscape of available ML methods, (2) choosing particular ML approach(es) that would be most appropriate for resolving the problem, and (3) successfully implementing a solution, and assessing its performance. The specialization is designed for three categories of students: · Practitioners working at financial institutions such as banks, asset management firms or hedge funds · Individuals interested in applications of ML for personal day trading · Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance. The modules can also be taken individually to improve relevant skills in a particular area of applications of ML to finance.
学生职业成果
50%
完成此 专项课程 后开始了新的职业。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为4 个月
建议 5 小时/周
英语(English)
学生职业成果
50%
完成此 专项课程 后开始了新的职业。
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
中级
完成时间大约为4 个月
建议 5 小时/周
英语(English)

此专项课程包含 4 门课程

课程1

课程 1

Guided Tour of Machine Learning in Finance

3.8
545 个评分
172 条评论
课程2

课程 2

Fundamentals of Machine Learning in Finance

3.8
268 个评分
55 条评论
课程3

课程 3

Reinforcement Learning in Finance

3.6
98 个评分
25 条评论
课程4

课程 4

Overview of Advanced Methods of Reinforcement Learning in Finance

3.8
63 个评分
11 条评论

提供方

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New York University

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