This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance.
提供方
Machine Learning and Reinforcement Learning in Finance 专项课程New York University课程信息
28,060 次近期查看
学生职业成果
50%
完成这些课程后已开始新的职业生涯
47%
通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为24 小时
英语（English）
字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
学生职业成果
50%
完成这些课程后已开始新的职业生涯
47%
通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为24 小时
英语（English）
字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
New York University
New York University is a leading global institution for scholarship, teaching, and research. Based in New York City with campuses and sites in 14 additional major cities across the world, NYU embraces diversity among faculty, staff and students to ensure the highest caliber, most inclusive educational experience.
教学大纲 - 您将从这门课程中学到什么
完成时间为 3 小时
Artificial Intelligence & Machine Learning
完成时间为 3 小时
11 个视频 （总计 75 分钟）, 3 个阅读材料, 1 个测验
完成时间为 6 小时
Mathematical Foundations of Machine Learning
完成时间为 6 小时
6 个视频 （总计 45 分钟）, 3 个阅读材料, 2 个测验
完成时间为 6 小时
Introduction to Supervised Learning
完成时间为 6 小时
7 个视频 （总计 75 分钟）, 4 个阅读材料, 2 个测验
完成时间为 10 小时
Supervised Learning in Finance
完成时间为 10 小时
9 个视频 （总计 66 分钟）, 4 个阅读材料, 3 个测验
审阅
来自GUIDED TOUR OF MACHINE LEARNING IN FINANCE的热门评论
由 KD 提供Aug 23, 2019
Introduction of ML for Financial application with combination of Scikit learn, Statsmodels and Tensorflow with neuralnets made this class very interesting. Learned and Enjoyed lot.
由 VB 提供Aug 25, 2018
More or less this course is good and interesting. However, homework assignments were awful. It's unclear and it's very hard to understand what is asked and how it would be graded.
由 MS 提供Dec 31, 2018
Despite all the problems with the assignments and the grader this course provides really good overview ML tools and their application to finance. It's definitely worth the effort
由 XZ 提供Jul 31, 2018
The course content is a mix of theory and practical stuff. One star off is due to the poor quality of programming assignment, i.e., unclear instructions and explanations.
关于 Machine Learning and Reinforcement Learning in Finance 专项课程
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.
常见问题
我什么时候能够访问课程视频和作业？
我订阅此专项课程后会得到什么？
Is financial aid available?
完成课程后，我会获得大学学分吗？
还有其他问题吗？请访问 学生帮助中心。
