AT
9. Aug. 2019
Furthered my understanding of how probabilistic models are connected to Machine Learning models. Very happy with the content in this course.
AT
2. Sep. 2019
Great course which covers both theories as well as practical skills in the real implementations in the financial world.
von Serg D
•5. Dez. 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.
von Luis P
•28. Jan. 2021
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 And the machine learning content (tensorflow in particular) is outdated, nobody uses Tensorflow 1.0...
von Zoltan S
•11. Aug. 2018
The lectures were truly outstanding, the best overview on different methods in machine learning I have seen so far. The problem sets were also interesting, informative and introduced several useful api from sklearn, tensorflow. With a little work these problem sets could (and probably should) be improved to match the quality of the lectures. For example adding more clarifications in the homework notebooks would be very helpful. Having said this, I think this is an excellent course, and highly recommend it.
von Daria Y
•26. Okt. 2019
Great overview of main ML concepts with examples applicable to Finance. Even though some people might argue, that the videos don't provide a clear guide path to the assignments, I believe the course provides a simple explanation and great book references! Also, I supplemented my study with courses @DataCamp and other open sources - and it was quite beneficial as well. Thank you, Igor Halperin, & a team!
von Tunan T
•28. Nov. 2020
This is a good starter course for people who wants to learn how to apply fundamental knowledge of machine learning into finance industry. Though the course is well designed, the lab assignment requires a bit effort to improve. There are some places the student will have no clue what goes wrong and how to resolve the issue. But overall a good course!
von Kenneth N
•26. Juli 2022
Great course. but requires lot of patience. Uses lot of unnecessary history, symbols and equations to explain simple concepts. Overall it is a good overview of the big picture of ML in finance provided if u can withstand the assault of excessive symbols and equations.
von Wenxiao S
•2. März 2020
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.
von Angelo J I T
•10. Aug. 2019
Furthered my understanding of how probabilistic models are connected to Machine Learning models. Very happy with the content in this course.
von Arditto T
•3. Sep. 2019
Great course which covers both theories as well as practical skills in the real implementations in the financial world.
von Siyu D
•19. Sep. 2019
This is a great course, I strongly recommend. However, the assignments take a while to finish.
von Craig V
•25. Juli 2020
Great class, but don't believe the programming assignment time estimates... takes way longer!
von Alvaro M
•1. Jan. 2020
Excellent course to get ML algorithms for profit maximization approach
von 刘晶
•6. Nov. 2018
It's excellent and incomparable course!
von Carlos S
•7. Apr. 2020
Great explanations and great material
von Yuning C
•8. Sep. 2018
A great course with deep insight.
von Stefano M T
•14. Feb. 2020
Very interesting arguments!
von Pavel K
•28. Nov. 2018
Very informative
von mohamed h
•8. Dez. 2019
thanks coursera
von Lam C V D
•16. Nov. 2022
Slow labs 4
von Zhao Y
•29. Sep. 2022
Thank you!
von Deleted A
•31. Okt. 2021
Thank you!
von Cannie L
•30. Dez. 2020
Thanks
von Benny P
•11. Dez. 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.
von Hilmi E
•5. Aug. 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..
von Jacques J
•25. Dez. 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.