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學生對 New York University 提供的 Fundamentals of Machine Learning in Finance 的評價和反饋

281 個評分
59 條評論


The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance. A learner with some or no previous knowledge of Machine Learning (ML) will get to know main algorithms of Supervised and Unsupervised Learning, and Reinforcement Learning, and will be able to use ML open source Python packages to design, test, and implement ML algorithms in Finance. Fundamentals of Machine Learning in Finance will provide more at-depth view of supervised, unsupervised, and reinforcement learning, and end up in a project on using unsupervised learning for implementing a simple portfolio trading strategy. The course 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 Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course....



Furthered my understanding of how probabilistic models are connected to Machine Learning models. Very happy with the content in this course.


Great course which covers both theories as well as practical skills in the real implementations in the financial world.


51 - Fundamentals of Machine Learning in Finance 的 57 個評論(共 57 個)

創建者 Lingzi


the course content is okay. but the coding exam really needs improvement.

創建者 Mohammad A S


Not practical. Mainly just some complicated math formulas.

創建者 Thomas W


The video lectures are quite nice although I miss the promised link to finance at time. What is absolutely a disaster are the assignments. They are flawed and miss a lot of explanation. A sometimes I miss the connection to the lectures. I will not recommend the course.

創建者 Luis P


Horrible assignments. No help from TAs whatsoever. Zero finance explanation. And the machine learning content (tensorflow in particular) is outdated, nobody uses Tensorflow 1.0...

創建者 Chaofan S


The assignment is not related to the contents and has bugs that no one responds.

創建者 Arnav S


Too bland. Reading off the slides. Couldn't understand anything.

創建者 Ehsan F


one of the worst courses I took in Coursera