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Fundamentals of Machine Learning in Finance(으)로 돌아가기

New York University의 Fundamentals of Machine Learning in Finance 학습자 리뷰 및 피드백

3.8
별점
274개의 평가
57개의 리뷰

강좌 소개

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....

최상위 리뷰

AT
2019년 8월 9일

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

AT
2019년 9월 2일

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

필터링 기준:

Fundamentals of Machine Learning in Finance의 55개 리뷰 중 26~50

교육 기관: Wenxiao S

2020년 3월 2일

The course is really challenging and requires a lot of self-motivated studying. I would say again it is the best course in quantitative finance that I have learned.

교육 기관: Angelo J I T

2019년 8월 10일

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

교육 기관: Arditto T

2019년 9월 3일

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

교육 기관: Siyu D

2019년 9월 19일

This is a great course, I strongly recommend. However, the assignments take a while to finish.

교육 기관: Craig V

2020년 7월 25일

Great class, but don't believe the programming assignment time estimates... takes way longer!

교육 기관: Alvaro M

2020년 1월 1일

Excellent course to get ML algorithms for profit maximization approach

교육 기관: 刘晶

2018년 11월 6일

It's excellent and incomparable course!

교육 기관: Carlos S

2020년 4월 7일

Great explanations and great material

교육 기관: Yuning C

2018년 9월 8일

A great course with deep insight.

교육 기관: Stefano M T

2020년 2월 14일

Very interesting arguments!

교육 기관: Pavel K

2018년 11월 28일

Very informative

교육 기관: Mohamed H a e r

2019년 12월 8일

thanks coursera

교육 기관: Cannie L

2020년 12월 30일

Thanks

교육 기관: Serguei Z

2020년 1월 25일

The course offers a good review of techniques. The coding assignments can be improved, in my opinion. On the one hand, they are quite simplistic and do not require understanding of the course material, the algorithms or the theory to be completed - one just needs to mechanically follow the code and write appropriate lines. On the other hand, the grading algorithms are sometime stuck on technicalities that are not relevant either understanding or programming but may require significant time to figure out the correct solution.

교육 기관: Benny P

2019년 12월 11일

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.

교육 기관: Hilmi E

2018년 8월 5일

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..

교육 기관: Jacques J

2018년 12월 25일

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.

교육 기관: Aydar A

2019년 6월 27일

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

교육 기관: Bozanian K

2018년 8월 19일

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

교육 기관: gareth o

2020년 9월 28일

The course lecturing is good and having finance relevant examples is excellent but the programming exercises are very frustrating. The instructions are confusing and the final exercise requires a very long calculation that can time out. The forums are helpful though and it's all doable, a couple of tweaks and upgrading to Tensorflow2 would make this a 5* course

교육 기관: cyril c

2018년 10월 11일

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

교육 기관: Harsh T

2020년 3월 11일

Lectures assume that students know about Finance. For a person like me, all the finance terms are like jargon. Even though I have good knowledge of Machine Learning, the videos were difficult to follow. Not a very good amalgamation of Finance and Machine Learning.

교육 기관: Gerardo O

2020년 3월 31일

Practical exercises are somehow disconnected from theory. Sometimes are not correctly guided and it is not clear the results they want to evaluate. Exercises can be done by navigating internet, the forums, but not reading the texts nor listening to the videos.

교육 기관: Juan C G A

2020년 6월 5일

The programming assestment was uncorrelated to the content of the module, the main ideas are so great but thereis a problem connecting homework and content

교육 기관: David C

2019년 12월 19일

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