good overview of methods but project part was frustrating due to slow Jupyter servers which blocked progress. Overall still positive as course content is unique.

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

If assignment are clear this course would be a great one. So I would like to suggest that explain more details about assignment and some guide lines

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

Many technical issues with assignments. Additionally, assignment instructions are often poor or insufficient.

The lecture is ok but lacks of details and the project is poorly designed without much guidance.

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

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.

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.

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 And the machine learning content (tensorflow in particular) is outdated, nobody uses Tensorflow 1.0...

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.

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!

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!

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.

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.

I really recommend this course,some courses your learn just tell you what to do,but when you finish this one,you will want to dig deeper.wonderful!

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.

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

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

Excellent course to get ML algorithms for profit maximization approach

It's excellent and incomparable course!

Great explanations and great material

A great course with deep insight.

Very interesting arguments!