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 專項課程New York University課程信息
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中級
完成時間大約為24 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
中級
完成時間大約為24 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（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.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 3 小時
Artificial Intelligence & Machine Learning
完成時間為 3 小時
11 個視頻 （總計 75 分鐘）, 3 個閱讀材料, 1 個測驗
完成時間為 6 小時
Mathematical Foundations of Machine Learning
完成時間為 6 小時
6 個視頻 （總計 45 分鐘）, 3 個閱讀材料, 2 個測驗
完成時間為 6 小時
Introduction to Supervised Learning
完成時間為 6 小時
7 個視頻 （總計 75 分鐘）, 4 個閱讀材料, 2 個測驗
完成時間為 10 小時
Supervised Learning in Finance
完成時間為 10 小時
9 個視頻 （總計 66 分鐘）, 4 個閱讀材料, 3 個測驗
審閱
- 5 stars41.46%
- 4 stars24.24%
- 3 stars13.23%
- 2 stars11%
- 1 star10.04%
來自GUIDED TOUR OF MACHINE LEARNING IN FINANCE的熱門評論
由 ZX 提供2018年7月31日
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.
由 VB 提供2018年8月25日
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 SH 提供2020年7月2日
Homework is not always consistent with what's covered in class. The recommended readings are very helpful.
由 KD 提供2019年8月23日
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.
關於 Machine Learning and Reinforcement Learning in Finance 專項課程
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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