Chevron Left
返回到 Fundamentals of Machine Learning in Finance

學生對 纽约大学坦登工程学院 提供的 Fundamentals of Machine Learning in Finance 的評價和反饋

3.8
stars
213 個評分
40 條評論

課程概述

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....

熱門審閱

AT

Aug 10, 2019

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

AT

Sep 03, 2019

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

篩選依據:

26 - Fundamentals of Machine Learning in Finance 的 40 個評論(共 40 個)

創建者 刘晶

Nov 06, 2018

It's excellent and incomparable course!

創建者 Yuning C

Sep 08, 2018

A great course with deep insight.

創建者 Pavel K

Nov 28, 2018

Very informative

創建者 Mohamed H a e r

Dec 08, 2019

thanks coursera

創建者 Benny P

Dec 11, 2019

For me, I find the math kind of useless. It's too hard for notice to understand, and too deep for those who don't want to know. This course should focus on its applications on finance. But at least you have few notebooks that you can keep for future reference.

創建者 Hilmi E

Aug 05, 2018

Good material..The course would improve a lot if there were clear explanations for the goals of the assignments and the plan for the assignment.. The codes for the assignment should be fully debugged..

創建者 Jacques J

Dec 25, 2018

So far so good. The lecturer refers to projects of which some weren't covered in this course. So a little confusing. Takes lots of googling to finish this course.

創建者 Aydar A

Jun 28, 2019

Good course with relevant topics, but assignments are not clear sometimes, lack of support with them.

創建者 Bozanian K

Aug 19, 2018

Add some hints in the notebooks, it was very hard to understand some parts

創建者 cyril c

Oct 11, 2018

content of the lessons is quite good, I would give it 5 stars if the assignments weren't so buggy, contains mistakes, unclear instructions, no help from staff/moderator/instructor, technical issues that are not resolved, etc. a lot of frustration, it just feels like the course was rushed to production and they let the students debug it

創建者 David C

Dec 19, 2019

Good lectures, but the problem sets are difficult, contain errors, little guidance, and no mentor or staff available to help with problems.

創建者 Lingzi

Feb 24, 2019

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

創建者 Sung Y L

Jan 19, 2020

The course staff should prepare more (the assignment and the support). Seriously. Too much ambiguities in the assignments, and discrepancies between the lectures and assignments.

I personally liked the material, especially that the course tried to deliver some real life applications.

創建者 Serg D

Dec 05, 2019

This course should be titled Machine learning algorithms and their formulas.

The course lectures are quite hard to follow all you see is formulas and little application to the finance. The only part of the finance is the dataset. No course materials. Really bad.

創建者 Nicolas S

Jan 02, 2020

The content of this course is not suited for online training. The videos mostly present an overview of the ML equations. You will have to consult textbooks for a deeper understanding. The exercises lack of guidance and do not have any conclusion. You will have a hard time to complete all the assignements if you don't know already well Scikit-learn, pandas, or even tensorflow.