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.
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Machine Learning and Reinforcement Learning in Finance 专项课程New York University课程信息
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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）
可灵活调整截止日期
根据您的日程表重置截止日期。
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。
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）
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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.
授课大纲 - 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
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来自GUIDED TOUR OF MACHINE LEARNING IN FINANCE的热门评论
由 LP 提供Oct 22, 2021
Very useful course. Personally, I think that there should have been more focus on the implementation of tensorflow and neural network codes. Overall the course is well structured and very clear.
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
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.
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