關於此 專項課程

13,005 次近期查看
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.
學生職業成果
50%
完成此 專項課程 後開始了新的職業。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為4 個月
建議 5 小時/週
英語(English)
學生職業成果
50%
完成此 專項課程 後開始了新的職業。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為4 個月
建議 5 小時/週
英語(English)

此專項課程包含 4 門課程

課程1

課程 1

Guided Tour of Machine Learning in Finance

3.8
540 個評分
170 條評論
課程2

課程 2

Fundamentals of Machine Learning in Finance

3.8
266 個評分
54 條評論
課程3

課程 3

Reinforcement Learning in Finance

3.6
96 個評分
25 條評論
課程4

課程 4

Overview of Advanced Methods of Reinforcement Learning in Finance

3.8
63 個評分
11 條評論

提供方

Placeholder

New York University

常見問題

還有其他問題嗎?請訪問 學生幫助中心