Comentários e feedback de alunos de Guided Tour of Machine Learning in Finance da instituição New York University

Was expecting bit more indepth. Very poor exercises with no reference to lectures. Disappointed.

No feedback from tutor in forum. Exercises confusing without much value.

The automatic grading system does not work.

The material is promising, but the staff running the course do not give a lot of direction on how to pursue learning the content. The programming assignments are left almost completely to the students guessing what they're suppose to do with little direction. There is almost no feedback on how your code has performed, except to say that your code was wrong, which you already understand from not getting the points. While I was able to achieve a passing grade in this course and the next, it was only because of the community of students that figured things out together, but with no other reliable way of figuring the material out. The code was also rife with bugs that weren't fixed for weeks while students tried and failed over and over again to pass assignments that they simply could not pass. It ended up wasting many hours of my time and, no doubt, other students' time. Simply check the forums to see the frustration from the Coursera community, that normally expects and receives high quality educational content.

Instructions completely unclear.Variables are named term1 and term2 with no reference to which formula. Not only is this not a unique decomposition (I could write this as 4 terms or 1 term depending on the algebra), but it is terrible coding practice.Covers material and requires knowledge of things never even discussed in the course. If this is done, it should be walked through pedagogically. This is for educational purposes after all. This assignment really seems like someone just wrote a jupyter notebook going through this calculation and erased a few random lines then expected us to be able to read their minds as to what was there.

I am incredibly disappointed with this course. The subject material seems extremely interesting, and I couldn't wait to go through the course, but the graded programming assignments are terrible. They are vague to the point of impossible - the only way to pass them is to read the discussion forums and find a solution that has worked or guess and check. They cover material and techniques not even mentioned or referenced anywhere in the lectures or instructions. Worst of all, is these issues have been left unaddressed by the administrators for months despite students repeatedly voicing their concerns.

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, no clear instructions or explanations. (by the way, based on and old version of tensorflow with a different API). The exercises don't explain where the data comes from or what it represents or what output the grader expects (as in which variables your code is supposed to fill in). Wasted an amazing amount of time on trial and error instead of learning about finance or tensorflow.

The lectures seems to have been cut and pasted from another course: the speaker would say "welcome to week 2" on week 4, etc.

The name of the course is what caused me to purchase, I was super excited for this course up until i reached the coding assignment. The instructions we practically not succinct whatsoever and i literally had no clue what it was asking and how to even start. From the discussions and reviews it appears alot of people have this same issue.

It is neither good for the beginners nor for advanced users. Specially on the finance side it's almost useless. People don't come here so you send them to read several different books. They come here so you teach them what they would find in those books. That's the actual added value and the service you are supposed to provide.

The assignements do not match the content of the video therefore you are not able to test whether you understood the material or not. Basically it is better to buy the book "Hands on machine Learning" by Geron and work on Financial exam

The teaching quality is poor and lacks practical examples. It is too technical, which you don't expect for this kind of courses. The mathematics were presented poorly and sometimes without context.

Utterly pointless. The in-video questions were terrible - they didn't test knowledge and were often irrelevant ("Lets move on and learn tensorflow" should *never* be an answer to a question).

This guys uses so difficult language to explain which to me looks like as if he himself does not really know what he is teaching. This is really annoying. The course outline is good though.

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...

Totally useless course. The professor has no idea how to teach. I recommend to take a good course in machine learning and a good course in finance instead this one.

The course content is okay but the assignments are so poorly designed and no one responds to the questions on Week3 assignment #5.

horrendous on all fronts. so disappointed. hoping the next course in specialization is better.

Assignments are very poorly explained and not always related to the lessons

A guided tour with too many shortcomings and errors assessments.

not what was expected

terrible course

Horrible labs